[38;5;12m                          [39m[38;2;255;187;0m[1m[4mAwesome[0m[38;2;255;187;0m[1m[4m [0m[38;2;255;187;0m[1m[4mNetwork[0m[38;2;255;187;0m[1m[4m [0m[38;2;255;187;0m[1m[4mAnalysis[0m[38;2;255;187;0m[1m[4m [0m[38;5;14m[1m[4m![0m[38;2;255;187;0m[1m[4mAwesome[0m[38;5;14m[1m[4m [0m[38;5;14m[1m[4m(https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)[0m[38;2;255;187;0m[1m[4m [0m[38;2;255;187;0m[1m[4m(https://github.com/sindresorhus/awesome)[0m[38;2;255;187;0m[1m[4m [0m[38;5;14m[1m[4m![0m[38;2;255;187;0m[1m[4mDOI[0m[38;5;14m[1m[4m [0m
[38;5;12m                                                                     [39m[38;5;14m[1m[4m(https://zenodo.org/badge/DOI/10.5281/zenodo.7869481.svg)[0m[38;2;255;187;0m[1m[4m [0m[38;2;255;187;0m[1m[4m(https://doi.org/10.5281/zenodo.7869481)[0m


[38;5;12mAn [39m[38;5;14m[1mawesome list[0m[38;5;12m (https://github.com/sindresorhus/awesome) of resources to construct, analyze and visualize network data.[39m

[38;5;12mInspired by [39m[38;5;14m[1mAwesome Deep Learning[0m[38;5;12m (https://github.com/ChristosChristofidis/awesome-deep-learning), [39m[38;5;14m[1mAwesome Math[0m[38;5;12m (https://github.com/rossant/awesome-math) and others. Started in 2016, and irregularly updated since then.[39m

[38;5;14m[1m![0m[38;5;12mAdamic and Glance’s network of political blogs, 2004.[39m[38;5;14m[1m (https://raw.githubusercontent.com/briatte/awesome-network-analysis/master/illustration.png)[0m[38;5;12m (http://www.maths.tcd.ie/~mnl/store/AdamicGlance2004a.pdf)[39m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mNetwork of U.S. political blogs by [39m[38;5;14m[1mAdamic and Glance (2004)[0m[38;5;12m (https://dl.acm.org/citation.cfm?doid=1134271.1134277) ([39m[38;5;14m[1mpreprint[0m[38;5;12m (http://www.maths.tcd.ie/~mnl/store/AdamicGlance2004a.pdf)).[39m

[38;5;12m__Note:__ searching for ‘@’ will return all Twitter accounts listed on this page.[39m

[38;2;255;187;0m[4mContents[0m

[38;5;12m- __[39m[38;5;14m[1mBooks[0m[38;5;12m (#books)__[39m
[38;5;12m  - [39m[38;5;14m[1mClassics[0m[38;5;12m (#classics)[39m
[38;5;12m  - [39m[38;5;14m[1mDissemination[0m[38;5;12m (#dissemination)[39m
[38;5;12m  - [39m[38;5;14m[1mGeneral Overviews[0m[38;5;12m (#general-overviews)[39m
[38;5;12m  - [39m[38;5;14m[1mGraph Theory[0m[38;5;12m (#graph-theory)[39m
[38;5;12m  - [39m[38;5;14m[1mMethod-specific[0m[38;5;12m (#method-specific)[39m
[38;5;12m  - [39m[38;5;14m[1mSoftware-specific[0m[38;5;12m (#software-specific)[39m
[38;5;12m  - [39m[38;5;14m[1mTopic-specific[0m[38;5;12m (#topic-specific)[39m
[38;5;12m- __[39m[38;5;14m[1mConferences[0m[38;5;12m (#conferences)__[39m
[38;5;12m- __[39m[38;5;14m[1mCourses[0m[38;5;12m (#courses)__[39m
[38;5;12m- __[39m[38;5;14m[1mDatasets[0m[38;5;12m (#datasets)__[39m
[38;5;12m- __[39m[38;5;14m[1mJournals[0m[38;5;12m (#journals)__[39m
[38;5;12m- __[39m[38;5;14m[1mProfessional groups[0m[38;5;12m (#professional-groups)__[39m
[38;5;12m  - [39m[38;5;14m[1mResearch Groups (USA)[0m[38;5;12m (#research-groups-usa)[39m
[38;5;12m  - [39m[38;5;14m[1mResearch Groups (Other)[0m[38;5;12m (#research-groups-other)[39m
[38;5;12m- __[39m[38;5;14m[1mReview Articles[0m[38;5;12m (#review-articles)__[39m
[38;5;12m  - [39m[38;5;14m[1mArcheological and Historical Networks[0m[38;5;12m (#archeological-and-historical-networks)[39m
[38;5;12m  - [39m[38;5;14m[1mBibliographic, Citation and Semantic Networks[0m[38;5;12m (#bibliographic-citation-and-semantic-networks)[39m
[38;5;12m  - [39m[38;5;14m[1mBiological, Ecological and Disease Networks[0m[38;5;12m (#biological-ecological-and-disease-networks)[39m
[38;5;12m  - [39m[38;5;14m[1mComplex Networks[0m[38;5;12m (#complex-networks)[39m
[38;5;12m  - [39m[38;5;14m[1mEthics of Network Analysis[0m[38;5;12m (#ethics-of-network-analysis)[39m
[38;5;12m  - [39m[38;5;14m[1mNetwork Modeling[0m[38;5;12m (#network-modeling)[39m
[38;5;12m  - [39m[38;5;14m[1mNetwork Visualization[0m[38;5;12m (#network-visualization)[39m
[38;5;12m  - [39m[38;5;14m[1mSocial, Economic and Political Networks[0m[38;5;12m (#social-economic-and-political-networks)[39m
[38;5;12m- __[39m[38;5;14m[1mSelected Papers[0m[38;5;12m (#selected-papers)__[39m
[38;5;12m- __[39m[38;5;14m[1mSoftware[0m[38;5;12m (#software)__[39m
[38;5;12m  - [39m[38;5;14m[1mAlgorithms[0m[38;5;12m (#algorithms)[39m
[38;5;12m  - [39m[38;5;14m[1mC / C++[0m[38;5;12m (#c--c)[39m
[38;5;12m  - [39m[38;5;14m[1mJava[0m[38;5;12m (#java)  [39m
[38;5;12m  - [39m[38;5;14m[1mJavaScript[0m[38;5;12m (#javascript)[39m
[38;5;12m  - [39m[38;5;14m[1mJulia[0m[38;5;12m (#julia)[39m
[38;5;12m  - [39m[38;5;14m[1mMATLAB[0m[38;5;12m (#matlab)[39m
[38;5;12m  - [39m[38;5;14m[1mPython[0m[38;5;12m (#python)[39m
[38;5;12m  - [39m[38;5;14m[1mR[0m[38;5;12m (#r)[39m
[38;5;12m  - [39m[38;5;14m[1mStata[0m[38;5;12m (#stata)[39m
[38;5;12m  - [39m[38;5;14m[1mSyntaxes[0m[38;5;12m (#syntaxes)[39m
[38;5;12m  - [39m[38;5;14m[1mTutorials[0m[38;5;12m (#tutorials)[39m
[38;5;12m- __[39m[38;5;14m[1mVaria[0m[38;5;12m (#varia)__[39m
[38;5;12m  - [39m[38;5;14m[1mBlog Series[0m[38;5;12m (#blog-series)[39m
[38;5;12m  - [39m[38;5;14m[1mFictional Networks[0m[38;5;12m (#fictional-networks)[39m
[38;5;12m  - [39m[38;5;14m[1mNetwork Science[0m[38;5;12m (#network-science)[39m
[38;5;12m  - [39m[38;5;14m[1mSmall Worlds[0m[38;5;12m (#small-worlds)[39m
[38;5;12m  - [39m[38;5;14m[1mTwo-Mode Networks[0m[38;5;12m (#two-mode-networks)[39m
[38;5;12m- __[39m[38;5;14m[1mContributing Guidelines[0m[38;5;12m (CONTRIBUTING.md)__[39m
[38;5;12m- __[39m[38;5;14m[1mLicense[0m[38;5;12m (#license)__[39m

[38;2;255;187;0m[4mBooks[0m

[38;2;255;187;0m[4mClassics[0m

[38;5;12m-   _[39m[38;5;14m[1mA Novitiate in a Period of Change: An Experimental and Case Study of Social Relationships[0m[38;5;12m (https://f.briatte.org/temp/sampson1968.pdf)_, by Samuel F. Sampson (unpublished PhD dissertation, 1968).[39m
[38;5;12m-   _[39m[38;5;14m[1mSocial Network Analysis[0m[38;5;12m (https://uk.sagepub.com/en-gb/eur/social-network-analysis/book249668)_, by John Scott (2017).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;12m_[39m[38;5;14m[1mSocial[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mAnalysis.[0m[38;5;14m[1m [0m[38;5;14m[1mMethods[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mApplications[0m[38;5;12m [39m[38;5;12m(http://www.cambridge.org/ar/academic/subjects/sociology/sociology-general-interest/social-network-analysis-methods-and-applications)_,[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mStanley[39m[38;5;12m [39m[38;5;12mWasserman[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mKatherine[39m[38;5;12m [39m[38;5;12mFaust[39m[38;5;12m [39m
[38;5;12m(1994).[39m
[38;5;12m-   _[39m[38;5;14m[1mThe Structure and Dynamics of Networks[0m[38;5;12m (http://press.princeton.edu/titles/8114.html)_, edited by Mark E.J. Newman, Albert-László Barabási and Duncan J. Watts - 600 pages of classic network analysis articles (2006).[39m

[38;2;255;187;0m[4mDissemination[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mAccessible introductions aimed at non-technical audiences.[39m

[38;5;12m-   _[39m[38;5;14m[1mConnected: The Surprising Power of Our Social Networks and How They Shape Our Lives[0m[38;5;12m (http://www.connectedthebook.com/)_, by Nicholas A. Christakis and James H. Fowler (2009).[39m
[38;5;12m-   _[39m[38;5;14m[1mLinked: The New Science of Networks[0m[38;5;12m (https://barabasi.com/book/linked)_, by Albert-László Barabási (2002).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;12m_[39m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mLiteracy:[0m[38;5;14m[1m [0m[38;5;14m[1mEssential[0m[38;5;14m[1m [0m[38;5;14m[1mConcepts[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mCore[0m[38;5;14m[1m [0m[38;5;14m[1mideas[0m[38;5;12m [39m[38;5;12m(https://sites.google.com/a/binghamton.edu/netscied/teaching-learning/network-concepts)_,[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;12mNetSciEd[39m[38;5;12m [39m[38;5;12mteam[39m[38;5;12m [39m[38;5;12m(c.[39m[38;5;12m [39m[38;5;12m2016)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mAvailable[39m[38;5;12m [39m[38;5;12min[39m[38;5;12m [39m[38;5;12mseveral[39m[38;5;12m [39m[38;5;12mlanguages[39m[38;5;12m [39m[38;5;12m([39m[38;5;14m[1mpaper[0m[38;5;12m [39m
[38;5;12m(https://academic.oup.com/comnet/article-abstract/4/3/457/1745356)).[39m
[38;5;12m-   _[39m[38;5;14m[1mNexus. Small Worlds and the Groundbreaking Theory of Networks[0m[38;5;12m (http://books.wwnorton.com/books/Nexus/)_, by Mark Buchanan (2003).[39m
[38;5;12m-   _[39m[38;5;14m[1mSix Degrees: The Science of a Connected Age[0m[38;5;12m (http://books.wwnorton.com/books/detail.aspx?ID=7599)_, by Duncan J. Watts (2003).[39m

[38;2;255;187;0m[4mGeneral Overviews[0m

[38;5;12m-[39m[38;5;12m   [39m[38;5;12m_[39m[38;5;14m[1mA[0m[38;5;14m[1m [0m[38;5;14m[1mFirst[0m[38;5;14m[1m [0m[38;5;14m[1mCourse[0m[38;5;14m[1m [0m[38;5;14m[1min[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mScience[0m[38;5;12m [39m[38;5;12m(https://www.cambridge.org/us/academic/subjects/physics/statistical-physics/first-course-network-science)_,[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mFilippo[39m[38;5;12m [39m[38;5;12mMenczer,[39m[38;5;12m [39m[38;5;12mSanto[39m[38;5;12m [39m[38;5;12mFortunato,[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mClayton[39m[38;5;12m [39m[38;5;12mA.[39m[38;5;12m [39m[38;5;12mDavis[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mTutorials,[39m[38;5;12m [39m[38;5;12mdatasets[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mother[39m
[38;5;12mresouces[39m[38;5;12m [39m[38;5;14m[1mon[0m[38;5;14m[1m [0m[38;5;14m[1mGitHub[0m[38;5;12m [39m[38;5;12m(https://github.com/CambridgeUniversityPress/FirstCourseNetworkScience)[39m[38;5;12m [39m[38;5;12m(2020).[39m
[38;5;12m-   _[39m[38;5;14m[1mEncyclopedia of Social Networks[0m[38;5;12m (http://sk.sagepub.com/reference/socialnetworks)_, edited by George A. Barnett - Covers all sorts of network-related themes (many of them not formal) as well as social network analysis (2011).[39m
[38;5;12m-   _[39m[38;5;14m[1mEncyclopedia of Social Network Analysis and Mining[0m[38;5;12m (https://www.springer.com/us/book/9781461461692)_, edited by Reda Alhajj and Jon Rokne (2014).[39m
[38;5;12m-   _[39m[38;5;14m[1mL'analyse de réseau en sciences sociales. Petit guide pratique[0m[38;5;12m (https://hal.science/hal-04052709)_, by Laurent Beauguitte, in French (2023). [39m[38;5;14m[1mReadable online[0m[38;5;12m (https://beauguitte.github.io/analyse-de-reseau-en-shs/).[39m
[38;5;12m-   _[39m[38;5;14m[1mNetwork Science[0m[38;5;12m (http://networksciencebook.com)_, by Albert-László Barabási - Full book online (2016).[39m
[38;5;12m-   _[39m[38;5;14m[1mNetwork Science[0m[38;5;12m (http://www.nap.edu/catalog/11516/network-science)_, by the U.S. National Research Council - Full book online (2005).[39m
[38;5;12m-   _[39m[38;5;14m[1mNetwork Science: Theory and Practice[0m[38;5;12m (http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1118211014.html)_, by Ted G. Lewis (2011).[39m
[38;5;12m-   _[39m[38;5;14m[1mNetworks. An Introduction[0m[38;5;12m (http://www-personal.umich.edu/~mejn/networks-an-introduction/)_, by Mark E.J. Newman (2010).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;12m_[39m[38;5;14m[1mNetworks,[0m[38;5;14m[1m [0m[38;5;14m[1mCrowds,[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mMarkets:[0m[38;5;14m[1m [0m[38;5;14m[1mReasoning[0m[38;5;14m[1m [0m[38;5;14m[1mAbout[0m[38;5;14m[1m [0m[38;5;14m[1ma[0m[38;5;14m[1m [0m[38;5;14m[1mHighly[0m[38;5;14m[1m [0m[38;5;14m[1mConnected[0m[38;5;14m[1m [0m[38;5;14m[1mWorld[0m[38;5;12m [39m[38;5;12m(https://www.cs.cornell.edu/home/kleinber/networks-book/)_,[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mDavid[39m[38;5;12m [39m[38;5;12mEasley[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mJon[39m[38;5;12m [39m[38;5;12mKleinberg[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mFull[39m[38;5;12m [39m[38;5;12mpre-publication[39m[38;5;12m [39m[38;5;12mdraft[39m[38;5;12m [39m[38;5;12m([39m[38;5;14m[1mreview[0m[38;5;12m [39m
[38;5;12m(http://bactra.org/reviews/networks-crowds-markets.html);[39m[38;5;12m [39m[38;5;12m2010).[39m
[38;5;12m-   _[39m[38;5;14m[1mRéseaux sociaux et structures relationnelles[0m[38;5;12m (https://www.puf.com/content/R%C3%A9seaux_sociaux_et_structures_relationnelles)_, by Emmanuel Lazega, in French (2014).[39m
[38;5;12m-   _[39m[38;5;14m[1mThe SAGE Handbook of Social Network Analysis[0m[38;5;12m (https://methods.sagepub.com/book/the-sage-handbook-of-social-network-analysis)_, edited by John Scott and Peter J. Carrington (2011).[39m
[38;5;12m-   _[39m[38;5;14m[1mSociologie des réseaux sociaux[0m[38;5;12m (http://pierremerckle.fr/2011/02/sociologie-des-reseaux-sociaux/)_, by Pierre Mercklé, in French (2011).[39m
[38;5;12m-   _[39m[38;5;14m[1mSocial and Economic Networks[0m[38;5;12m (https://press.princeton.edu/books/paperback/9780691148205/social-and-economic-networks)_, by Matthew O. Jackson (2008).[39m
[38;5;12m-   _[39m[38;5;14m[1mSocial Network Analysis with Applications[0m[38;5;12m (https://www.wiley.com/en-gb/Social+Network+Analysis+with+Applications-p-9781118169476)_, by Ian McCulloh, Helen Armstrong and Anthony Johnson (2013).[39m
[38;5;12m-   _[39m[38;5;14m[1mSocial Networks: An Introduction[0m[38;5;12m (https://www.routledge.com/products/9780415458030)_, by Jeroen Bruggeman ([39m[38;5;14m[1mrelated material[0m[38;5;12m (https://sites.google.com/site/introsocnet/); 2008).[39m
[38;5;12m-   _[39m[38;5;14m[1mStudying Social Networks. A Guide to Empirical Research[0m[38;5;12m (http://press.uchicago.edu/ucp/books/book/distributed/S/bo15475096.html)_, by Marina Hennig _et al._ (2013).[39m
[38;5;12m-   _[39m[38;5;14m[1mUnderstanding Social Networks. Theories, Concepts, and Findings[0m[38;5;12m (https://global.oup.com/academic/product/understanding-social-networks-9780195379471)_, by Charles Kadushin (2012).[39m

[38;2;255;187;0m[4mGraph Theory[0m

[38;5;12m-   _[39m[38;5;14m[1mCombinatorics and Graph Theory[0m[38;5;12m (https://www.springer.com/us/book/9780387797106)_, by John Harris, Jeffry L. Hirst and Michael Mossinghoff (2008).[39m
[38;5;12m-   _[39m[38;5;14m[1mThe Fascinating World of Graph Theory[0m[38;5;12m (http://press.princeton.edu/titles/10314.html)_, by Arthur Benjamin, Gary Chartrand and Ping Zhang (2015).[39m
[38;5;12m-   _[39m[38;5;14m[1mGraph Theory[0m[38;5;12m (https://www.springer.com/us/book/9781846289699)_, by John A. Bondy and Uppaluri S.R. Murty (2008).[39m
[38;5;12m-   _[39m[38;5;14m[1mGraph Theory[0m[38;5;12m (http://diestel-graph-theory.com/)_, by Reinhard Diestel - Full book online, also in Chinese and German (2016).[39m
[38;5;12m-   _[39m[38;5;14m[1mGraph Theory[0m[38;5;12m (http://www.dtic.mil/dtic/tr/fulltext/u2/705364.pdf)_, by Frank Harary - Full book online (1969).[39m
[38;5;12m-   _[39m[38;5;14m[1mGraphs & Digraphs[0m[38;5;12m (https://www.crcpress.com/Graphs--Digraphs-Sixth-Edition/Chartrand-Lesniak-Zhang/p/book/9781498735766)_, by Gary Chartrand, Linda Lesniak and Ping Zhang (2016).[39m
[38;5;12m-   _[39m[38;5;14m[1mIntroduction to Combinatorics and Graph Theory[0m[38;5;12m (https://www.whitman.edu/mathematics/cgt_online/cgt.pdf)_, by David Guichard - Full book online (2016).[39m
[38;5;12m-   _[39m[38;5;14m[1mModern Graph Theory[0m[38;5;12m (https://www.springer.com/us/book/9780387984889)_, by Belá Bollobás (1998).[39m

[38;2;255;187;0m[4mMethod-specific[0m

[38;5;12m-   _[39m[38;5;14m[1mBayesian Networks in R with Applications in Systems Biology[0m[38;5;12m (https://www.springer.com/fr/book/9781461464457)_, by Radhakrishnan Nagarajan, Marco Scutari and Sophie Lèbre ([39m[38;5;14m[1mwebsite[0m[38;5;12m (http://www.bnlearn.com/book-useR/); 2013).[39m
[38;5;12m-   _[39m[38;5;14m[1mBayesian Networks with Examples in R[0m[38;5;12m (http://www.crcpress.com/product/isbn/9781482225587)_, by Marco Scutari and Jean-Baptiste Denis ([39m[38;5;14m[1mwebsite[0m[38;5;12m (http://www.bnlearn.com/book-crc/); 2014).[39m
[38;5;12m-   _[39m[38;5;14m[1mThe Book of Trees. Visualizing Branches of Knowledge[0m[38;5;12m (https://papress.com/products/the-book-of-trees-visualizing-branches-of-knowledge)_, by Manuel Lima - Hundreds of beautiful tree diagrams, from all periods of history (2014).[39m
[38;5;12m-   _[39m[38;5;14m[1mExponential Random Graph Models for Social Networks[0m[38;5;12m (http://www.cambridge.org/9780521193566)_, edited by Dean Lusher, Johan Koskinen and Garry Robins (2013).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;12m_[39m[38;5;14m[1mGeneralized[0m[38;5;14m[1m [0m[38;5;14m[1mBlockmodeling.[0m[38;5;14m[1m [0m[38;5;14m[1mStructural[0m[38;5;14m[1m [0m[38;5;14m[1mAnalysis[0m[38;5;14m[1m [0m[38;5;14m[1min[0m[38;5;14m[1m [0m[38;5;14m[1mthe[0m[38;5;14m[1m [0m[38;5;14m[1mSocial[0m[38;5;14m[1m [0m[38;5;14m[1mSciences[0m[38;5;12m [39m[38;5;12m(http://www.cambridge.org/de/academic/subjects/sociology/sociology-general-interest/generalized-blockmodeling)_,[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mPatrick[39m[38;5;12m [39m[38;5;12mDoreian,[39m[38;5;12m [39m[38;5;12mVladimir[39m[38;5;12m [39m[38;5;12mBatagelj[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mAnuška[39m
[38;5;12mFerligoj[39m[38;5;12m [39m[38;5;12m(2004).[39m
[38;5;12m-   _[39m[38;5;14m[1mHandbook of Graph Drawing and Visualization[0m[38;5;12m (https://www.crcpress.com/Handbook-of-Graph-Drawing-and-Visualization/Tamassia/9781584884125)_, edited by Roberto Tamassia ([39m[38;5;14m[1mchapter proofs[0m[38;5;12m (https://cs.brown.edu/~rt/gdhandbook/); 2013).[39m
[38;5;12m-   _[39m[38;5;14m[1mHandbuch Historische Netzwerkforschung. Grundlagen und Anwendungen[0m[38;5;12m (http://www.lit-verlag.de/isbn/3-643-11705-2)_, edited by Marten Düring _et al._, in German (2016).[39m
[38;5;12m-   _[39m[38;5;14m[1mAn Introduction to Exponential Random Graph Modeling[0m[38;5;12m (https://uk.sagepub.com/en-gb/eur/an-introduction-to-exponential-random-graph-modeling/book237737)_, by Jenine K. Harris (2014).[39m
[38;5;12m-   _[39m[38;5;14m[1mKnoten und Kanten. Soziale Netzwerkanalyse in Wirtschafts- und Migrationsforschung[0m[38;5;12m (http://www.transcript-verlag.de/978-3-8376-1311-7/knoten-und-kanten)_, edited by Markus Gamper and Linda Reschke, in German (2010).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;12m_[39m[38;5;14m[1mKnoten[0m[38;5;14m[1m [0m[38;5;14m[1mund[0m[38;5;14m[1m [0m[38;5;14m[1mKanten[0m[38;5;14m[1m [0m[38;5;14m[1m2.0.[0m[38;5;14m[1m [0m[38;5;14m[1mSoziale[0m[38;5;14m[1m [0m[38;5;14m[1mNetzwerkanalyse[0m[38;5;14m[1m [0m[38;5;14m[1min[0m[38;5;14m[1m [0m[38;5;14m[1mMedienforschung[0m[38;5;14m[1m [0m[38;5;14m[1mund[0m[38;5;14m[1m [0m[38;5;14m[1mKulturanthropologie[0m[38;5;12m [39m[38;5;12m(http://www.transcript-verlag.de/978-3-8376-1927-0/knoten-und-kanten-2.0)_,[39m[38;5;12m [39m[38;5;12medited[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mMarkus[39m[38;5;12m [39m[38;5;12mGamper,[39m[38;5;12m [39m[38;5;12mLinda[39m[38;5;12m [39m[38;5;12mReschke[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mMichael[39m[38;5;12m [39m[38;5;12mSchönhuth,[39m[38;5;12m [39m[38;5;12min[39m[38;5;12m [39m
[38;5;12mGerman[39m[38;5;12m [39m[38;5;12m(2012).[39m
[38;5;12m-   _[39m[38;5;14m[1mKnoten und Kanten III. Soziale Netzwerkanalyse in Geschichts- und Politikforschung[0m[38;5;12m ()_, edited by Markus Gamper, Linda Reschke and Marten Düring, in German and English (2015).[39m
[38;5;12m-   _[39m[38;5;14m[1mInferential Network Analysis[0m[38;5;12m (https://www.cambridge.org/highereducation/books/inferential-network-analysis/A7797D36A24647AA1F900CE7EF694C7E)_, by Skyler J. Cranmer, Bruce A. Desmarais and Jason Morgan (2020).[39m
[38;5;12m-   _[39m[38;5;14m[1mMultilayer Social Networks[0m[38;5;12m (http://multilayer.it.uu.se/book.html)_, by Mark E. Dickison, Matteo Magnani and Luca Rossi (2016).[39m
[38;5;12m-   _[39m[38;5;14m[1mMultilevel Network Analysis for the Social Sciences[0m[38;5;12m (https://www.springer.com/fr/book/9783319245188)_, edited by Emmanuel Lazega and Tom A.B. Snijders (2016).[39m
[38;5;12m-   _[39m[38;5;14m[1mMultimodal Political Networks[0m[38;5;12m (https://www.cambridge.org/core/books/multimodal-political-networks/43EE8C192A1B0DCD65B4D9B9A7842128)_, by David Knoke, Mario Diani, James Hollway and Dimitri Christopulos (2021).[39m
[38;5;12m-   _[39m[38;5;14m[1mMultivariate Network Visualization[0m[38;5;12m (https://www.springer.com/us/book/9783319067926)_, edited by Andreas Kerren, Helen C. Purchase and Matthew O. Ward (2014).[39m
[38;5;12m-   _[39m[38;5;14m[1mNetwork Analysis in Archaeology[0m[38;5;12m (https://global.oup.com/academic/product/network-analysis-in-archaeology-9780199697090)_, edited by Carl Knappett (2013; [39m[38;5;14m[1mreview in French[0m[38;5;12m (https://doi.org/10.4000/nda.2383)).[39m
[38;5;12m-   _[39m[38;5;14m[1mNetwork Analysis: Methodological Foundations[0m[38;5;12m (https://www.springer.com/fr/book/9783540249795)_, edited by Ulrik Brandes and Thomas Erlebach - Covers network centrality, clustering, blockmodels, spatial networks and more (2005).[39m
[38;5;12m-   _[39m[38;5;14m[1mPolitical Networks. The Structural Perspective[0m[38;5;12m (http://www.cambridge.org/ar/academic/subjects/sociology/political-sociology/political-networks-structural-perspective)_, by David Knoke (1994).[39m
[38;5;12m-   _[39m[38;5;14m[1mSocial Network Analysis for Ego-Nets: Social Network Analysis for Actor-Centred Networks[0m[38;5;12m (https://uk.sagepub.com/en-gb/eur/social-network-analysis-for-ego-nets/book240391)_, by Nick Crossley _et al._ (2015).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;12m_[39m[38;5;14m[1mUnderstanding[0m[38;5;14m[1m [0m[38;5;14m[1mLarge[0m[38;5;14m[1m [0m[38;5;14m[1mTemporal[0m[38;5;14m[1m [0m[38;5;14m[1mNetworks[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mSpatial[0m[38;5;14m[1m [0m[38;5;14m[1mNetworks[0m[38;5;12m [39m
[38;5;12m(https://www.wiley.com/en-gb/Understanding+Large+Temporal+Networks+and+Spatial+Networks%3A+Exploration%2C+Pattern+Searching%2C+Visualization+and+Network+Evolution-p-9780470714522)_,[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mVladimir[39m[38;5;12m [39m[38;5;12mBatagelj[39m[38;5;12m [39m[38;5;12m_et[39m[38;5;12m [39m[38;5;12mal._[39m[38;5;12m [39m[38;5;12m(2014).[39m

[38;2;255;187;0m[4mSoftware-specific[0m

[38;5;12m-   _[39m[38;5;14m[1mAlgorithmic Graph Theory and Sage[0m[38;5;12m (https://code.google.com/archive/p/graphbook/)_, by David Joyner, Minh Van Nguyen, and David Phillips - Full book online (2013).[39m
[38;5;12m-   _[39m[38;5;14m[1mAnalyzing Social Networks[0m[38;5;12m (https://sites.google.com/site/analyzingsocialnetworks/)_ (using UCINET), by Stephen P. Borgatti, Martin G. Everett and Jeffrey C. Johnson (2013).[39m
[38;5;12m-   _[39m[38;5;14m[1mA User’s Guide to Network Analysis in R[0m[38;5;12m (https://www.springer.com/us/book/9783319238821)_, by Douglas A. Luke (2015).[39m
[38;5;12m-   _[39m[38;5;14m[1mData Science and Complex Networks: Real Case Studies with Python[0m[38;5;12m (https://global.oup.com/academic/product/data-science-and-complex-networks-9780199639601)_, by Guido Caldarelli and Alessandro Chessa (2016).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;12m_[39m[38;5;14m[1mExploratory[0m[38;5;14m[1m [0m[38;5;14m[1mSocial[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mAnalysis[0m[38;5;14m[1m [0m[38;5;14m[1mwith[0m[38;5;14m[1m [0m[38;5;14m[1mPajek[0m[38;5;12m [39m[38;5;12m(http://www.cambridge.org/us/academic/subjects/sociology/research-methods-sociology-and-criminology/exploratory-social-network-analysis-pajek-2nd-edition)_,[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mWouter[39m[38;5;12m [39m[38;5;12mde[39m[38;5;12m [39m[38;5;12mNooy,[39m[38;5;12m [39m[38;5;12mAndrej[39m[38;5;12m [39m
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[38;5;12m-   _[39m[38;5;14m[1mGephi Cookbook[0m[38;5;12m (https://www.packtpub.com/big-data-and-business-intelligence/gephi-cookbook)_ (2015).[39m
[38;5;12m-   _[39m[38;5;14m[1mGraph Drawing Software[0m[38;5;12m (http://link.springer.com/book/10.1007/978-3-642-18638-7)_ (covering many programs), edited by Michael Jünger and Petra Mutzel (2004).[39m
[38;5;12m-   _[39m[38;5;14m[1mIntroduction to Social Network Methods[0m[38;5;12m (http://faculty.ucr.edu/~hanneman/nettext/)_ (using mostly UCINET), by Robert A. Hanneman and Mark Riddle - Full book online (2001).[39m
[38;5;12m-   _[39m[38;5;14m[1mMastering Gephi Network Visualization[0m[38;5;12m (https://www.packtpub.com/networking-and-servers/mastering-gephi-network-visualization)_, by Ken Cherven (2015).[39m
[38;5;12m-   _Network Analysis with R/igraph_, by Gabor Csárdi, Thomas Nepusz and Eduardo M. Airoldi (in preparation).[39m
[38;5;12m-   _Network Analysis with Python/igraph_, by Thomas Nepusz, Gabor Csárdi and Eduardo M. Airoldi (in preparation).[39m
[38;5;12m-   _[39m[38;5;14m[1mNetwork Graph Analysis and Visualization with Gephi[0m[38;5;12m (https://www.packtpub.com/big-data-and-business-intelligence/network-graph-analysis-and-visualization-gephi)_, by Ken Cherven (2013).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;12m_[39m[38;5;14m[1mSocial[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mAnalysis[0m[38;5;14m[1m [0m[38;5;14m[1mfor[0m[38;5;14m[1m [0m[38;5;14m[1mStartups.[0m[38;5;14m[1m [0m[38;5;14m[1mFinding[0m[38;5;14m[1m [0m[38;5;14m[1mConnections[0m[38;5;14m[1m [0m[38;5;14m[1mon[0m[38;5;14m[1m [0m[38;5;14m[1mthe[0m[38;5;14m[1m [0m[38;5;14m[1mSocial[0m[38;5;14m[1m [0m[38;5;14m[1mWeb[0m[38;5;12m [39m[38;5;12m(http://shop.oreilly.com/product/0636920020424.do)_[39m[38;5;12m [39m[38;5;12m(using[39m[38;5;12m [39m[38;5;12mPython),[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mMaksim[39m[38;5;12m [39m[38;5;12mTsvetovat[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mAlexander[39m[38;5;12m [39m[38;5;12mKouznetsov[39m[38;5;12m [39m[38;5;12m([39m[38;5;14m[1mcode[0m[38;5;12m [39m
[38;5;12m(https://github.com/maksim2042/SNABook);[39m[38;5;12m [39m[38;5;12m2011).[39m
[38;5;12m-   _[39m[38;5;14m[1mStatistical Analysis of Network Data with R[0m[38;5;12m (http://www.springer.com/us/book/9781493909827)_, by Eric D. Kolaczyk and Gabor Csárdi ([39m[38;5;14m[1mR package[0m[38;5;12m (https://github.com/kolaczyk/sand); 2014).[39m

[38;2;255;187;0m[4mTopic-specific[0m

[38;5;12m-   _[39m[38;5;14m[1mCommunities and Networks: Using Social Network Analysis to Rethink Urban and Community Studies[0m[38;5;12m (http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0745654207.html)_, by Katherine Giuffre (2013).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;12m_[39m[38;5;14m[1mComparing[0m[38;5;14m[1m [0m[38;5;14m[1mPolicy[0m[38;5;14m[1m [0m[38;5;14m[1mNetworks.[0m[38;5;14m[1m [0m[38;5;14m[1mLabor[0m[38;5;14m[1m [0m[38;5;14m[1mPolitics[0m[38;5;14m[1m [0m[38;5;14m[1min[0m[38;5;14m[1m [0m[38;5;14m[1mthe[0m[38;5;14m[1m [0m[38;5;14m[1mU.S.,[0m[38;5;14m[1m [0m[38;5;14m[1mGermany,[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mJapan[0m[38;5;12m [39m
[38;5;12m(http://www.cambridge.org/ar/academic/subjects/politics-international-relations/comparative-politics/comparing-policy-networks-labor-politics-us-germany-and-japan)_,[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mDavid[39m[38;5;12m [39m[38;5;12mKnoke[39m[38;5;12m [39m[38;5;12m_et[39m[38;5;12m [39m[38;5;12mal._[39m[38;5;12m [39m[38;5;12m(1996).[39m
[38;5;12m-   _[39m[38;5;14m[1mConducting Personal Network Research: A Practical Guide[0m[38;5;12m (https://www.routledge.com/Conducting-Personal-Network-Research-A-Practical-Guide/McCarty-Lubbers-Vacca-Molina/p/book/9781462538386)_, by Christopher McCarty _et al._ (2019).[39m
[48;5;235m[38;5;249m- _**Egocentric Network Analysis with R** (https://raffaelevacca.github.io/egocentric-r-book/)_ - An online book/tutorial that covers a lot of similar ground.[49m[39m
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[38;5;12m(http://connectedpast.net/)).[39m
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[38;5;12m(http://moreno.ss.uci.edu/91.pdf)).[39m
[38;5;12m-   _[39m[38;5;14m[1mDynamical Networks in Psychology: More Than A Pretty Picture?[0m[38;5;12m (https://www.researchgate.net/publication/308874807_Dynamical_networks_in_psychology_More_than_a_pretty_picture)_, by Laura Bringmann (2016; PhD dissertation).[39m
[38;5;12m-   _[39m[38;5;14m[1mDynamical Processes on Complex Networks[0m[38;5;12m (http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780521879507)_, by Alain Barrat, Marc Barthélemy and Alessandro Vespignani (2008).[39m
[38;5;12m-   _[39m[38;5;14m[1mEconomic Networks: Theory and Computation[0m[38;5;12m (https://networks.quantecon.org/)_, by John Stachurski and Thomas J. Sargent (2022).[39m
[38;5;12m-   _[39m[38;5;14m[1mFundamentals of Brain Network Analysis[0m[38;5;12m (https://www.elsevier.com/books/fundamentals-of-brain-network-analysis/fornito/978-0-12-407908-3)_, by Alex Fornito, Andrew Zalesky and Edward Bullmore (2016).[39m
[38;5;12m-   _[39m[38;5;14m[1mInside Criminal Networks[0m[38;5;12m (https://www.springer.com/us/book/9780387095257)_, by Carlo Morselli (2009).[39m
[38;5;12m-   _[39m[38;5;14m[1mNeighbor Networks. Competitive Advantage Local and Personal[0m[38;5;12m (https://global.oup.com/academic/product/neighbor-networks-9780199570690)_, by Ronald S. Burt (2010).[39m
[38;5;12m-   _[39m[38;5;14m[1mNetwork Analysis Literacy. A Practical Approach to the Analysis of Networks[0m[38;5;12m (https://www.springer.com/us/book/9783709107409)_, by Katharina A. Zweig (2016).[39m
[38;5;12m-   _[39m[38;5;14m[1mNetworks in Social Policy Problems[0m[38;5;12m (http://www.cambridge.org/mx/academic/subjects/physics/statistical-physics/networks-social-policy-problems)_, edited by Balázs Vedres and Marco Scotti (2012).[39m
[38;5;12m-   _[39m[38;5;14m[1mThe Oxford Handbook of the Economics of Networks[0m[38;5;12m (https://global.oup.com/academic/product/the-oxford-handbook-of-the-economics-of-networks-9780199948277)_, edited by Yann Bramoullé, Andrea Galeotti and Brian Rogers (2016).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;12m_[39m[38;5;14m[1mPolicy[0m[38;5;14m[1m [0m[38;5;14m[1mDebates[0m[38;5;14m[1m [0m[38;5;14m[1mas[0m[38;5;14m[1m [0m[38;5;14m[1mDynamic[0m[38;5;14m[1m [0m[38;5;14m[1mNetworks:[0m[38;5;14m[1m [0m[38;5;14m[1mGerman[0m[38;5;14m[1m [0m[38;5;14m[1mPension[0m[38;5;14m[1m [0m[38;5;14m[1mPolitics[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mPrivatization[0m[38;5;14m[1m [0m[38;5;14m[1mDiscourse[0m[38;5;12m [39m[38;5;12m(http://www.campus.de/buecher-campus-verlag/wissenschaft/politikwissenschaft/policy_debates_as_dynamic_networks-10287.html)_,[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mPhilip[39m[38;5;12m [39m[38;5;12mLeifeld[39m
[38;5;12m(2016).[39m
[38;5;12m-   _[39m[38;5;14m[1mSmall Worlds: The Dynamics of Networks between Order and Randomness[0m[38;5;12m (http://press.princeton.edu/titles/6768.html)_, by Duncan J. Watts (2003).[39m
[38;5;12m-   _[39m[38;5;14m[1mTheories of Communication Networks[0m[38;5;12m (https://global.oup.com/academic/product/theories-of-communication-networks-9780195160376)_, by Peter Monge and Nosh Contractor (2003).[39m
[38;5;12m-   _[39m[38;5;14m[1mThe Chessboard and the Web. Strategies of Connection in a Networked World[0m[38;5;12m (http://yalebooks.yale.edu/book/9780300215649/chessboard-and-web)_, by Anne-Marie Slaughter (2017); applies network science to world politics.[39m
[38;5;12m-   _[39m[38;5;14m[1mTowards Relational Sociology[0m[38;5;12m (https://www.routledge.com/products/9780415480147)_, by Nick Crossley (2011).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;12m_[39m[38;5;14m[1mDie[0m[38;5;14m[1m [0m[38;5;14m[1mVerbundenheit[0m[38;5;14m[1m [0m[38;5;14m[1mder[0m[38;5;14m[1m [0m[38;5;14m[1mDinge.[0m[38;5;14m[1m [0m[38;5;14m[1mEine[0m[38;5;14m[1m [0m[38;5;14m[1mKulturgeschichte[0m[38;5;14m[1m [0m[38;5;14m[1mder[0m[38;5;14m[1m [0m[38;5;14m[1mNetze[0m[38;5;14m[1m [0m[38;5;14m[1mund[0m[38;5;14m[1m [0m[38;5;14m[1mNetzwerke[0m[38;5;14m[1m [0m[38;5;12mThe[39m[38;5;12m [39m[38;5;12mConnectedness[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mThings.[39m[38;5;12m [39m[38;5;12mA[39m[38;5;12m [39m[38;5;12mCultural[39m[38;5;12m [39m[38;5;12mHistory[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mNets[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mNetworks[39m[38;5;14m[1m [0m[38;5;12m [39m[38;5;12m(http://www.kulturverlag-kadmos.de/buch/die-verbundenheit-der-dinge.html)_,[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m
[38;5;12mSebastian[39m[38;5;12m [39m[38;5;12mGießmann,[39m[38;5;12m [39m[38;5;12min[39m[38;5;12m [39m[38;5;12mGerman[39m[38;5;12m [39m[38;5;12m(2014).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;12m_[39m[38;5;14m[1mVerdeckte[0m[38;5;14m[1m [0m[38;5;14m[1msoziale[0m[38;5;14m[1m [0m[38;5;14m[1mNetzwerke[0m[38;5;14m[1m [0m[38;5;14m[1mim[0m[38;5;14m[1m [0m[38;5;14m[1mNationalsozialismus.[0m[38;5;14m[1m [0m[38;5;14m[1mDie[0m[38;5;14m[1m [0m[38;5;14m[1mEntstehung[0m[38;5;14m[1m [0m[38;5;14m[1mund[0m[38;5;14m[1m [0m[38;5;14m[1mArbeitsweise[0m[38;5;14m[1m [0m[38;5;14m[1mvon[0m[38;5;14m[1m [0m[38;5;14m[1mBerliner[0m[38;5;14m[1m [0m[38;5;14m[1mHilfsnetzwerken[0m[38;5;14m[1m [0m[38;5;14m[1mfür[0m[38;5;14m[1m [0m[38;5;14m[1mverfolgte[0m[38;5;14m[1m [0m[38;5;14m[1mJuden[0m[38;5;14m[1m [0m[38;5;12mHidden[39m[38;5;12m [39m[38;5;12mSocial[39m[38;5;12m [39m[38;5;12mNetworks[39m[38;5;12m [39m[38;5;12min[39m[38;5;12m [39m[38;5;12mNational[39m[38;5;12m [39m[38;5;12mSocialism:[39m[38;5;12m [39m[38;5;12mThe[39m[38;5;12m [39m[38;5;12morigins[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mworking[39m[38;5;12m [39m[38;5;12mmethods[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mBerlin[39m[38;5;12m [39m[38;5;12massistance[39m
[38;5;12mnetworks[39m[38;5;12m [39m[38;5;12mfor[39m[38;5;12m [39m[38;5;12mpersecuted[39m[38;5;12m [39m[38;5;12mJews[39m[38;5;14m[1m [0m[38;5;12m [39m[38;5;12m(http://www.degruyter.com/view/product/432196)_,[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mMarten[39m[38;5;12m [39m[38;5;12mDüring,[39m[38;5;12m [39m[38;5;12min[39m[38;5;12m [39m[38;5;12mGerman[39m[38;5;12m [39m[38;5;12m(2015;[39m[38;5;12m [39m[38;5;14m[1mrelated[0m[38;5;14m[1m [0m[38;5;14m[1mpublications[0m[38;5;12m [39m[38;5;12m(http://martenduering.com/research/covert-networks-during-the-holocaust/)[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;14m[1mvideo[0m[38;5;14m[1m [0m[38;5;14m[1mpresentation[0m[38;5;14m[1m [0m[38;5;14m[1min[0m[38;5;14m[1m [0m
[38;5;14m[1mEnglish[0m[38;5;12m [39m[38;5;12m(https://www.youtube.com/watch?v=SlQ7stSU-9w)).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;12m_[39m[38;5;14m[1mVisualisierung[0m[38;5;14m[1m [0m[38;5;14m[1mkomplexer[0m[38;5;14m[1m [0m[38;5;14m[1mStrukturen.[0m[38;5;14m[1m [0m[38;5;14m[1mGrundlagen[0m[38;5;14m[1m [0m[38;5;14m[1mder[0m[38;5;14m[1m [0m[38;5;14m[1mDarstellung[0m[38;5;14m[1m [0m[38;5;14m[1mmehrdimensionaler[0m[38;5;14m[1m [0m[38;5;14m[1mNetzwerke[0m[38;5;12m [39m[38;5;12m(http://www.campus.de/buecher-campus-verlag/wissenschaft/soziologie/visualisierung_komplexer_strukturen-2467.html)_,[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mLothar[39m[38;5;12m [39m[38;5;12mKrempel,[39m[38;5;12m [39m[38;5;12min[39m[38;5;12m [39m
[38;5;12mGerman.[39m

[38;2;255;187;0m[4mConferences[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mRecurring conferences on network analysis.[39m

[38;5;12m-   [39m[38;5;14m[1mASONAM - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining[0m[38;5;12m (http://asonam.cpsc.ucalgary.ca/).[39m
[48;5;235m[38;5;249m-   **SNAA - Workshop on Social Network Analysis in Applications** (http://snaa.pwr.edu.pl/).[49m[39m
[38;5;12m-   [39m[38;5;14m[1mCNDay - Cambridge Networks Day[0m[38;5;12m (http://www.cnn.group.cam.ac.uk/cambridge-networks-day) - Convened by the Cambridge Networks Network.[39m
[38;5;12m-   [39m[38;5;14m[1mCompleNet - International Workshop on Complex Networks[0m[38;5;12m (http://complenet.org/).[39m
[38;5;12m-   [39m[38;5;14m[1mEUSN - European Conference on Social Networks[0m[38;5;12m (http://eusn.org/).[39m
[38;5;12m-   [39m[38;5;14m[1mGD - International Symposium on Graph Drawing and Network Visualization[0m[38;5;12m (http://www.graphdrawing.org/symposia.html).[39m
[38;5;12m-   [39m[38;5;14m[1mPolNet - Annual Political Networks Workshops and Conference[0m[38;5;12m (http://conference.polinetworks.org/) - Organized by the APSA Organized Section on Political Networks (PolNet).[39m
[48;5;235m[38;5;249m-   **Videos from the Political Networks 2009 Conference** (https://vimeo.com/user2690333).[49m[39m
[38;5;12m-   [39m[38;5;14m[1mNetSci - International School and Conference on Social Networks[0m[38;5;12m (http://www.netscisociety.net/) - Organized by the Network Science Society (NetSci).[39m
[48;5;235m[38;5;249m-   **Large-scale Structures in Networks: Hidden Communities and Latent Hierarchies** (http://danlarremore.com/CommunityDetection_and_Ranking_Larremore_2019.pdf) - Talk by **Dan Larremore** (http://danlarremore.com/) at NetSci 2019.[49m[39m
[38;5;12m-   [39m[38;5;14m[1mSunbelt - Social Networks Conference of the International Network for Social Network Analysis[0m[38;5;12m (http://www.insna.org/archives.html) - Organized by the International Network for Social Network Analysis (INSNA).[39m

[38;2;255;187;0m[4mCourses[0m

[38;5;12m-   [39m[38;5;14m[1mComplex Networks[0m[38;5;12m (http://cazabetremy.fr/Teaching/ComplexNetworks.html), by Rémy Cazabet (University Lyon 1 and ENS Lyon, 2022).[39m
[48;5;235m[38;5;249m-   **Network Science CheatSheets** (https://github.com/Yquetzal/NetworkScience_CheatSheets).[49m[39m
[38;5;12m-   [39m[38;5;14m[1mComplex Networks[0m[38;5;12m (https://www.uvm.edu/~pdodds/teaching/courses/2016-01UVM-303/), by Peter Sheridan Dodds (University of Vermont, 2016; Twitter: [39m[38;5;14m[1m@networksvox[0m[38;5;12m (https://twitter.com/networksvox)).[39m
[48;5;235m[38;5;249m-   **Tarot Cards for Principles of Complex Systems and Complex Networks** (https://www.uvm.edu/~pdodds/teaching/courses/2016-01UVM-303/tarotcards/).[49m[39m
[38;5;12m-   [39m[38;5;14m[1mGraph Theory and Applications[0m[38;5;12m (http://www.hamilton.ie/ollie/Downloads/Graph.pdf), by Paul Van Dooren - Full lecture slides (Hamilton Institute, Dublin, 2009).[39m
[38;5;12m-   [39m[38;5;14m[1mGraph Theory (Mathematics)[0m[38;5;12m (http://www.personal.psu.edu/cxg286/Math485.pdf), by Christopher Griffin - Full lecture notes (Penn State University, 2012).[39m
[38;5;12m-   [39m[38;5;14m[1mGraphs and Networks[0m[38;5;12m (https://sites.google.com/a/yale.edu/462-562-graphs-and-networks/), by Dan Spielman (Yale University, 2013).[39m
[38;5;12m-   [39m[38;5;14m[1mNetwork Analysis and Modeling (Computer Science)[0m[38;5;12m (https://aaronclauset.github.io/courses/5352/), by Aaron Clauset - Full lecture slides and readings (University of Colorado, 2022).[39m
[38;5;12m-   [39m[38;5;14m[1mNetworks, Complexity and Its Applications (Media Arts and Sciences)[0m[38;5;12m (http://ocw.mit.edu/courses/media-arts-and-sciences/mas-961-networks-complexity-and-its-applications-spring-2011/), by Cesar Hidalgo (MIT, 2011).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mNetworks,[0m[38;5;14m[1m [0m[38;5;14m[1mCrowds[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mMarkets[0m[38;5;12m [39m[38;5;12m(https://www.edx.org/course/networks-crowds-markets-cornellx-info2040x-2),[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mDavid[39m[38;5;12m [39m[38;5;12mEasley,[39m[38;5;12m [39m[38;5;12mJon[39m[38;5;12m [39m[38;5;12mKleinberg[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mEva[39m[38;5;12m [39m[38;5;12mTardos[39m[38;5;12m [39m[38;5;12m([39m[38;5;14m[1mpresentation[0m[38;5;12m [39m
[38;5;12m(https://www.cornell.edu/video/cornellx-networks-crowds-and-markets);[39m[38;5;12m [39m[38;5;12mCornell[39m[38;5;12m [39m[38;5;12mUniversity[39m[38;5;12m [39m[38;5;12mvia[39m[38;5;12m [39m[38;5;12medX,[39m[38;5;12m [39m[38;5;12m2016).[39m
[38;5;12m-   [39m[38;5;14m[1mNetworks (Economics)[0m[38;5;12m (https://ocw.mit.edu/courses/economics/14-15j-networks-spring-2018/), by Mardavij Roozbehani and Evan Sadler (MIT, 2018).[39m
[48;5;235m[38;5;249m-   **Networks (Economics)** (https://hdl.handle.net/1721.1/119628), by Daron Acemoglu and Asu Ozdaglar (MIT, 2009).[49m[39m
[38;5;12m-   [39m[38;5;14m[1mNetwork Science (Computer Science)[0m[38;5;12m (http://www.cc.gatech.edu/~dovrolis/Courses/NetSci/), by Constantine Dovrolis - Mostly open access readings (Georgia Tech, 2015).[39m
[48;5;235m[38;5;249m[49m[39m
[38;5;12m-   [39m[38;5;14m[1mPolitical Networks: Methods and Applications[0m[38;5;12m (http://vanity.dss.ucdavis.edu/~maoz/networks/Spring%202011/pol279-11.htm), by Zeev Maoz (University of California in Davis, 2012).[39m
[38;5;12m-   [39m[38;5;14m[1mSocial and Economic Networks: Models and Analysis[0m[38;5;12m (https://www.coursera.org/course/networksonline), by Matthew O. Jackson (Stanford University via Coursera, 2015).[39m
[38;5;12m-   [39m[38;5;14m[1mSocial Network Analysis[0m[38;5;12m (https://www.coursera.org/course/sna), by Lada Adamic (University of Michigan via Coursera, not yet run).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mSocial[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mAnalysis[0m[38;5;12m [39m[38;5;12m(http://www.mjdenny.com/workshops/SN_Theory_I.pdf)[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;14m[1mIntermediate[0m[38;5;14m[1m [0m[38;5;14m[1mSocial[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mTheory[0m[38;5;12m [39m[38;5;12m(http://www.mjdenny.com/workshops/Relational_Theory_Workshop.pdf),[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mMatthew[39m[38;5;12m [39m[38;5;12mJ.[39m[38;5;12m [39m[38;5;12mDenny[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mWorkshop[39m[38;5;12m [39m[38;5;12mnotes[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mslides[39m[38;5;12m [39m
[38;5;12m(2014–5).[39m
[38;5;12m-   [39m[38;5;14m[1mSocial Network Analysis with Pajek[0m[38;5;12m (http://mrvar.fdv.uni-lj.si/sola/info4/), by Andrej Mrvar (University of Ljubljana, 2016).[39m
[38;5;12m-   [39m[38;5;14m[1mSocial Networks[0m[38;5;12m (http://dennisfeehan.org/teaching/201701_demog260.html), by Dennis M. Feehan (University of Berkeley, 2017).[39m
[38;5;12m-   [39m[38;5;14m[1mThe Structure of Information Networks[0m[38;5;12m (https://www.cs.cornell.edu/Courses/cs6850/2008fa/), by Jon Kleinberg - Links to many diverse readings (Cornell University, 2008).[39m

[38;2;255;187;0m[4mDatasets[0m

[38;5;12m-   [39m[38;5;14m[1mAnimal Social Network Repository[0m[38;5;12m (https://bansallab.github.io/asnr/) - Large “[39m[38;5;14m[1mmulti-species repository of social networks[0m[38;5;12m (https://doi.org/10.1038/s41597-019-0056-z).”[39m
[38;5;12m-   [39m[38;5;14m[1mBayesian Network Repository[0m[38;5;12m (http://www.bnlearn.com/bnrepository/).[39m
[38;5;12m-   [39m[38;5;14m[1mBill Cosponsorship Networks in European Parliaments[0m[38;5;12m (https://github.com/briatte/parlnet) - Legislative cosponsorship networks, in R format.[39m
[38;5;12m-   [39m[38;5;14m[1mColorado Index of Complex Networks (ICON)[0m[38;5;12m (https://icon.colorado.edu/) - Large collection of networks described and indexed by Aaron Clauset’s research group.[39m
[38;5;12m-   [39m[38;5;14m[1mConnectome[0m[38;5;12m (http://awesome.cs.jhu.edu/graph-services/download/) - Comprehensive maps of neural connections.[39m
[38;5;12m-   [39m[38;5;14m[1mEnron Email Dataset[0m[38;5;12m (https://www.cs.cmu.edu/~enron/).[39m
[38;5;12m-   [39m[38;5;14m[1mEric D. Kolaczyk’s Network Datasets[0m[38;5;12m (http://math.bu.edu/people/kolaczyk/datasets.html).[39m
[38;5;12m-   [39m[38;5;14m[1mGephi Datasets[0m[38;5;12m (https://github.com/gephi/gephi/wiki/Datasets).[39m
[38;5;12m-   [39m[38;5;14m[1mHetionet: an integrative network of disease[0m[38;5;12m (https://github.com/hetio/hetionet) - A complex biological network, available in multiple formats, including JSON and [39m[38;5;14m[1mNeo4j[0m[38;5;12m (https://neo4j.het.io/browser/).[39m
[38;5;12m-   [39m[38;5;14m[1migraphdata[0m[38;5;12m (https://CRAN.R-project.org/package=igraphdata) - R data-centric package.[39m
[38;5;12m-   [39m[38;5;14m[1mInteraction Web Database[0m[38;5;12m (http://www.ecologia.ib.usp.br/iwdb/) - Ecological species interactions.[39m
[38;5;12m-   [39m[38;5;14m[1mInternational Currencies 1890-1910[0m[38;5;12m (http://eh.net/database/international-currencies-1890-1910/) - Historical data on the international connections between 45 currencies.[39m
[38;5;12m-   [39m[38;5;14m[1mKONECT - The Koblenz Network Collection[0m[38;5;12m (http://konect.uni-koblenz.de/) - Includes, among other things, networks of collaboration in DBpedia and Wikipedia, GitHub ([39m[38;5;14m[1mcompanion handbook[0m[38;5;12m (https://arxiv.org/abs/1402.5500)).[39m
[48;5;235m[38;5;249m[49m[39m
[38;5;12m-   [39m[38;5;14m[1mLinton Freeman’s Network Data[0m[38;5;12m (http://moreno.ss.uci.edu/data.html) - Over 300 datasets of all sorts, in UCINET format.[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mMangal[0m[38;5;12m [39m[38;5;12m(http://mangal.io/)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mOnline[39m[38;5;12m [39m[38;5;12mplatform[39m[38;5;12m [39m[38;5;12mto[39m[38;5;12m [39m[38;5;12manalyze,[39m[38;5;12m [39m[38;5;12marchive[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mshare[39m[38;5;12m [39m[38;5;12mecological[39m[38;5;12m [39m[38;5;12mnetwork[39m[38;5;12m [39m[38;5;12mdata[39m[38;5;12m [39m[38;5;12m([39m[38;5;14m[1mpreprint[0m[38;5;12m [39m[38;5;12m(https://doi.org/10.1101/002634),[39m[38;5;12m [39m[38;5;14m[1mPython[0m[38;5;14m[1m [0m[38;5;14m[1mpackage[0m[38;5;12m [39m[38;5;12m(https://github.com/mangal-wg/pymangal),[39m[38;5;12m [39m[38;5;14m[1mR[0m[38;5;14m[1m [0m[38;5;14m[1mpackage[0m[38;5;12m [39m
[38;5;12m(https://github.com/mangal-wg/rmangal)).[39m
[38;5;12m-   [39m[38;5;14m[1mManlio De Domenico’s Complex Multilayer Networks[0m[38;5;12m (https://manliodedomenico.com/data.php).[39m
[38;5;12m-   [39m[38;5;14m[1mMark E.J. Newman’s Network Data[0m[38;5;12m (http://www-personal.umich.edu/~mejn/netdata/) ([39m[38;5;14m[1mexample visualizations[0m[38;5;12m (http://www-personal.umich.edu/~mejn/networks/)).[39m
[38;5;12m-   [39m[38;5;14m[1mNetwork Repository[0m[38;5;12m (http://networkrepository.com/) - Fully searchable database containing hundreds of real-world networks.[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mScience[0m[38;5;14m[1m [0m[38;5;14m[1mBook[0m[38;5;14m[1m [0m[38;5;14m[1m-[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mDatasets[0m[38;5;12m [39m[38;5;12m(http://networksciencebook.com/translations/en/resources/data.html)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mNetwork[39m[38;5;12m [39m[38;5;12mdata[39m[38;5;12m [39m[38;5;12msets[39m[38;5;12m [39m[38;5;12mfrom[39m[38;5;12m [39m[38;5;12mAlbert-László[39m[38;5;12m [39m[38;5;12mBarabási’s[39m[38;5;12m [39m[38;5;12m_Network[39m[38;5;12m [39m[38;5;12mScience_[39m[38;5;12m [39m[38;5;12mbook.[39m[38;5;12m [39m[38;5;12mIncludes[39m[38;5;12m [39m[38;5;12mdata[39m[38;5;12m [39m[38;5;12mon[39m[38;5;12m [39m[38;5;12mIMDB[39m[38;5;12m [39m[38;5;12mactors,[39m[38;5;12m [39m[38;5;12marXiv[39m[38;5;12m [39m[38;5;12mscientific[39m[38;5;12m [39m
[38;5;12mcollaboration,[39m[38;5;12m [39m[38;5;12mnetwork[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mrouters,[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;12mUS[39m[38;5;12m [39m[38;5;12mpower[39m[38;5;12m [39m[38;5;12mgrid,[39m[38;5;12m [39m[38;5;12mprotein-protein[39m[38;5;12m [39m[38;5;12minteractions,[39m[38;5;12m [39m[38;5;12mcell[39m[38;5;12m [39m[38;5;12mphone[39m[38;5;12m [39m[38;5;12musers,[39m[38;5;12m [39m[38;5;12mcitation[39m[38;5;12m [39m[38;5;12mnetworks,[39m[38;5;12m [39m[38;5;12mmetabolic[39m[38;5;12m [39m[38;5;12mreactions,[39m[38;5;12m [39m[38;5;12me-mail[39m[38;5;12m [39m[38;5;12mnetworks,[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mnd.edu[39m[38;5;12m [39m[38;5;12mWeb[39m[38;5;12m [39m[38;5;12mpages.[39m
[48;5;235m[38;5;249m[49m[39m
[38;5;12m-   [39m[38;5;14m[1mNorwegian Interlocking Directorate, 2002-2011[0m[38;5;12m (http://www.boardsandgender.com/data.php) - Two-mode and one-mode data on gender representation in Norwegian firms.[39m
[38;5;12m-   [39m[38;5;14m[1mMovie galaxies[0m[38;5;12m (http://moviegalaxies.com/) - A database of movie characters interaction graphs.[39m
[38;5;12m-   [39m[38;5;14m[1mPajek Datasets[0m[38;5;12m (http://vlado.fmf.uni-lj.si/pub/networks/data/).[39m
[38;5;12m-   [39m[38;5;14m[1mPhilosophers Networks from Randall Collins’s _The Sociology of Philosophies_[0m[38;5;12m (https://www.uva.nl/profiel/n/o/w.denooy/w.denooy.html#tab_1).[39m
[38;5;12m-   [39m[38;5;14m[1mSiena Datasets[0m[38;5;12m (http://www.stats.ox.ac.uk/~snijders/siena/siena_datasets.htm).[39m
[38;5;12m-   [39m[38;5;14m[1mSocioPatterns Datasets[0m[38;5;12m (http://www.sociopatterns.org/datasets/) - Network data obtained through the [39m[38;5;14m[1mSocioPatterns[0m[38;5;12m (http://www.sociopatterns.org/) sensing platform.[39m
[38;5;12m-   [39m[38;5;14m[1mStanford Large Network Dataset Collection[0m[38;5;12m (http://snap.stanford.edu/data/index.html).[39m
[38;5;12m-   [39m[38;5;14m[1mState Networks[0m[38;5;12m (https://ippsr.msu.edu/public-policy/state-networks) - US state-to-state relational variables, including borders, travel, trade and more.[39m
[38;5;12m-   [39m[38;5;14m[1mtnet Datasets[0m[38;5;12m (https://toreopsahl.com/datasets/) - Weighted network data.[39m
[38;5;12m-   [39m[38;5;14m[1mUC Berkeley Social Networks Study (UCNets)[0m[38;5;12m (https://www.icpsr.umich.edu/web/ICPSR/studies/36975) - Ego-centric data (personal networks) from a five-year panel study.[39m
[38;5;12m-   [39m[38;5;14m[1mUCI Network Data Repository[0m[38;5;12m (http://networkdata.ics.uci.edu/).[39m
[38;5;12m-   [39m[38;5;14m[1mUCINET Datasets[0m[38;5;12m (https://sites.google.com/site/ucinetsoftware/datasets) - Network data in UCINET format.[39m

[38;2;255;187;0m[4mJournals[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mJournals that are not fully open-access are marked as “gated”. Please also note that some of the publishers listed below are [39m[38;5;14m[1mdeeply hurting[0m[38;5;12m (https://twitter.com/costofknowledge) scientific publishing.[39m

[38;5;12m-   _[39m[38;5;14m[1mApplied Network Science[0m[38;5;12m (http://appliednetsci.springeropen.com/)_ (Springer Open).[39m
[38;5;12m-   _[39m[38;5;14m[1mARCS – Analyse de réseaux pour les sciences sociales / Network Analysis for the Social Sciences[0m[38;5;12m (http://arcs.episciences.org/)_, in English and in French ([39m[38;5;14m[1mGDR ARSHS[0m[38;5;12m (https://arshs.hypotheses.org/)).[39m
[38;5;12m-   _[39m[38;5;14m[1mComputational and Mathematical Organization Theory[0m[38;5;12m (http://link.springer.com/journal/10588)_ (Springer, gated).[39m
[38;5;12m-   _[39m[38;5;14m[1mComputational Social Networks[0m[38;5;12m (http://computationalsocialnetworks.springeropen.com/)_ (Springer Open).[39m
[38;5;12m-   _[39m[38;5;14m[1mConnections[0m[38;5;12m (http://www.insna.org/connections.html)_ (INSNA). Twitter: [39m[38;5;14m[1m@ConnectionsSNA[0m[38;5;12m (https://twitter.com/ConnectionsSNA).[39m
[38;5;12m-   _[39m[38;5;14m[1mIEEE Transactions on Network Science and Engineering[0m[38;5;12m (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6488902)_ (IEEE).[39m
[38;5;12m-   _[39m[38;5;14m[1mJournal of Complex Networks[0m[38;5;12m (https://academic.oup.com/comnet)_ (Oxford, gated).[39m
[38;5;12m-   _[39m[38;5;14m[1mThe Journal of Mathematical Sociology[0m[38;5;12m (http://www.tandfonline.com/loi/gmas20)_ (Taylor & Francis, gated).[39m
[38;5;12m-   _[39m[38;5;14m[1mJournal of Social Structure[0m[38;5;12m (https://www.exeley.com/journal/journal_of_social_structure)_ (INSNA). [39m[38;5;14m[1mOlder archives[0m[38;5;12m (http://www.cmu.edu/joss).[39m
[38;5;12m-   _[39m[38;5;14m[1mNETCOM. Networks and Communication Studies[0m[38;5;12m (https://journals.openedition.org/netcom/)_, in English and in French (Revues.org).[39m
[38;5;12m-   _[39m[38;5;14m[1mNetwork Science[0m[38;5;12m (http://journals.cambridge.org/action/displayJournal?jid=nws)_ (Cambridge, gated).[39m
[38;5;12m-   _[39m[38;5;14m[1mOnline Social Networks and Media[0m[38;5;12m (https://www.journals.elsevier.com/online-social-networks-and-media/)_ (Elsevier, gated).[39m
[38;5;12m-   _[39m[38;5;14m[1mREDES. Revista hispana para el análisis de redes sociales[0m[38;5;12m (http://revista-redes.rediris.es/)_, in Spanish (INSNA).[39m
[38;5;12m-   _[39m[38;5;14m[1mSocial Network Analysis and Mining[0m[38;5;12m (http://link.springer.com/journal/13278)_ (Springer, gated).[39m
[38;5;12m-   _[39m[38;5;14m[1mSocial Networks[0m[38;5;12m (http://ees.elsevier.com/son/default.asp)_ (Elsevier, gated).[39m

[38;2;255;187;0m[4mProfessional Groups[0m

[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mAFS[0m[38;5;14m[1m [0m[38;5;14m[1mRT[0m[38;5;14m[1m [0m[38;5;14m[1m26[0m[38;5;14m[1m [0m[38;5;14m[1m“Réseaux[0m[38;5;14m[1m [0m[38;5;14m[1msociaux”[0m[38;5;12m [39m[38;5;12m(https://afs-socio.fr/rt/rt26/)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mThematic[39m[38;5;12m [39m[38;5;12mNetwork[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;12mFrench[39m[38;5;12m [39m[38;5;12mSociological[39m[38;5;12m [39m[38;5;12mAssociation[39m[38;5;12m [39m[38;5;12m(AFS),[39m[38;5;12m [39m[38;5;12min[39m[38;5;12m [39m[38;5;12mFrench[39m[38;5;12m [39m[38;5;12m([39m[38;5;14m[1mold[0m[38;5;14m[1m [0m[38;5;14m[1mwebsite[0m[38;5;12m [39m
[38;5;12m(https://web.archive.org/web/20160421164221/http://www.cmh.pro.ens.fr/reseaux-sociaux/)).[39m
[38;5;12m-   [39m[38;5;14m[1mAPSA Political Networks[0m[38;5;12m (http://www.polinetworks.org/) - Organized Section of the American Political Science Association (APSA). Twitter: [39m[38;5;14m[1m@PolNetworks[0m[38;5;12m (https://twitter.com/PolNetworks).[39m
[38;5;12m-   [39m[38;5;14m[1mECPR Political Networks SG[0m[38;5;12m (https://politicalnetsecpr.wordpress.com/) - Standing Group of the European Consortium for Political Research. Twitter: [39m[38;5;14m[1m@politicalnets[0m[38;5;12m (https://twitter.com/politicalnets).[39m
[38;5;12m-   [39m[38;5;14m[1mGDR ARSHS - GDR Analyse de réseaux en sciences humaines et sociales[0m[38;5;12m (https://arshs.hypotheses.org/), in French - Research group based in Paris.[39m
[38;5;12m-   [39m[38;5;14m[1mGroupe FMR - Flux, Matrices, Réseaux[0m[38;5;12m (https://groupefmr.hypotheses.org/), in French. Twitter: [39m[38;5;14m[1m@BaugLaurent[0m[38;5;12m (https://twitter.com/BaugLaurent).[39m
[38;5;12m-   [39m[38;5;14m[1mINSNA - International Network for Social Network Analysis[0m[38;5;12m (https://www.insna.org/) ([39m[38;5;14m[1mSOCNET mailing-list[0m[38;5;12m (https://www.insna.org/socnet)). Twitter: [39m[38;5;14m[1m@SocNetAnalysts[0m[38;5;12m (https://twitter.com/SocNetAnalysts).[39m
[38;5;12m-   [39m[38;5;14m[1mMathematical Sociology Section of the American Sociological Association (ASA)[0m[38;5;12m (http://mathematicalsociology.org/). Twitter: [39m[38;5;14m[1m@Math_Sociology[0m[38;5;12m (https://twitter.com/Math_Sociology).[39m
[38;5;12m-   [39m[38;5;14m[1mNetSci - Network Science Society[0m[38;5;12m (http://www.netscisociety.net/). Twitter: [39m[38;5;14m[1m@netscisociety[0m[38;5;12m (https://twitter.com/netscisociety).[39m
[38;5;12m-   [39m[38;5;14m[1mSociety of Young Network Scientists (SYNS)[0m[38;5;12m (https://society-of-young-network-scientists.github.io/). Supports early-career network scientists. Twitter: [39m[38;5;14m[1m@official_SYNS[0m[38;5;12m (https://twitter.com/official_SYNS).[39m

[38;2;255;187;0m[4mResearch Groups (USA)[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mNetwork-focused research centers, (reading) groups, institutes, labs – you name it – based in the USA.[39m

[38;5;12m-   [39m[38;5;14m[1mAnnenberg Networks Network (ANN)[0m[38;5;12m (http://uscann.tumblr.com/) - Research group studying social networks at the University of Southern California.[39m
[38;5;12m-   [39m[38;5;14m[1mCenter for Applied Network Analysis (CANA)[0m[38;5;12m (https://usccana.github.io/) - Research group based at the University of Southern California School of Medicine.[39m
[38;5;12m-   [39m[38;5;14m[1mChanning Division of Network Medicine[0m[38;5;12m (http://www.brighamandwomens.org/research/depts/medicine/channing/default.aspx) - Research division within the Department of Medicine at Brigham and Women’s Hospital.[39m
[38;5;12m-   [39m[38;5;14m[1mComplex Human Networks Reading Group (CoHN)[0m[38;5;12m (http://alumni.media.mit.edu/~tanzeem/cohn/CoHN.htm) - Reading list from a seminar held at MIT in 2001–2.[39m
[38;5;12m-   [39m[38;5;14m[1mDuke Network Analysis Center[0m[38;5;12m (https://dnac.ssri.duke.edu/).[39m
[38;5;12m-   [39m[38;5;14m[1mInterdependence in Governance and Policy Research Group[0m[38;5;12m (https://sites.psu.edu/desmaraisgroup/) - Led by Bruce A. Desmarais at Penn State University.[39m
[38;5;12m-   [39m[38;5;14m[1mIndiana University Network Science Institute (IUNI)[0m[38;5;12m (http://iuni.iu.edu/).[39m
[38;5;12m-   [39m[38;5;14m[1mInterdisciplinary Center for Network Science and Applications (iCeNSA) at the University of Notre Dame[0m[38;5;12m (http://icensa.com/).[39m
[38;5;12m-   [39m[38;5;14m[1mLINKS Center for Social Network Analysis at the Gatton College of Business and Economics, University of Kentucky[0m[38;5;12m (https://sites.google.com/site/uklinkscenter/).[39m
[38;5;12m-   [39m[38;5;14m[1mNetSCI Lab at the Rutgers School of Communication and Information[0m[38;5;12m (http://netsci.rutgers.edu/).[39m
[38;5;12m-   [39m[38;5;14m[1mNetwork Dynamics Group at the Annenberg School for Communication, University of Pennsylvania[0m[38;5;12m (http://ndg.asc.upenn.edu/). Twitter: [39m[38;5;14m[1m@NDGannenberg[0m[38;5;12m (https://twitter.com/NDGannenberg).[39m
[38;5;12m-   [39m[38;5;14m[1mNetwork Interdependence in Social Systems[0m[38;5;12m (http://www.skylercranmer.net/niss-lab/) (NISS Lab) - Led by Skyler J. Cranmer at Ohio State University.[39m
[38;5;12m-   [39m[38;5;14m[1mNetwork Science Center at the U.S. Military Academy (USMA) in West Point[0m[38;5;12m (http://www.usma.edu/nsc/) ([39m[38;5;14m[1mblog[0m[38;5;12m (http://blog.netsciwestpoint.org/)).[39m
[38;5;12m-   [39m[38;5;14m[1mNetwork Science IGERT at the University of California at Santa Barbara (UCSB)[0m[38;5;12m (http://networkscience.igert.ucsb.edu/) - Features an [39m[38;5;14m[1mNSF-funded[0m[38;5;12m (http://www.igert.org/) graduate programme.[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mNetworks,[0m[38;5;14m[1m [0m[38;5;14m[1mComputation,[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mSocial[0m[38;5;14m[1m [0m[38;5;14m[1mDynamics[0m[38;5;14m[1m [0m[38;5;14m[1mLab[0m[38;5;12m [39m[38;5;12m(http://www.ncasd.org/)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mHeaded[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mCarter[39m[38;5;12m [39m[38;5;12mT.[39m[38;5;12m [39m[38;5;12mButts.[39m[38;5;12m [39m[38;5;12mPart[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;14m[1mCenter[0m[38;5;14m[1m [0m[38;5;14m[1mfor[0m[38;5;14m[1m [0m[38;5;14m[1mNetworks[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mRelational[0m[38;5;14m[1m [0m[38;5;14m[1mAnalysis[0m[38;5;12m [39m[38;5;12m(http://relationalanalysis.org/)[39m[38;5;12m [39m[38;5;12m(CNRA)[39m[38;5;12m [39m[38;5;12mat[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;12mUniversity[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mCalifornia[39m[38;5;12m [39m[38;5;12min[39m[38;5;12m [39m
[38;5;12mIrvine.[39m
[38;5;12m-   [39m[38;5;14m[1mNortheastern University Network Science Institute[0m[38;5;12m (http://www.networkscienceinstitute.org/) - Features a PhD in Network Science program.[39m
[38;5;12m-   [39m[38;5;14m[1mNortheastern University Center for Complex Network Research[0m[38;5;12m (https://www.northeastern.edu/research/centers/center-for-complex-network-research-ccnr/) - Led by Albert-László Barabási.[39m
[38;5;12m-   [39m[38;5;14m[1mNortheastern University MOBS Lab - Laboratory for the Modeling of Biological and Socio-technical Systems[0m[38;5;12m (http://www.mobs-lab.org/) - Led by Alessandro Vespignani.[39m
[38;5;12m-   [39m[38;5;14m[1mPacific Ecoinformatics and Computational Ecology Lab[0m[38;5;12m (http://foodwebs.org/) - Non-profit study group of ecological networks (“food webs”).[39m
[38;5;12m-   [39m[38;5;14m[1mPeter J. Mucha’s Research Group at the University of North Carolina at Chapel Hill[0m[38;5;12m (http://mucha.web.unc.edu/networks/).[39m
[38;5;12m-   [39m[38;5;14m[1mSocial Network Analysis Group at Stanford[0m[38;5;12m (http://sna.stanford.edu/).[39m
[38;5;12m-   [39m[38;5;14m[1mWarren Center for Network & Data Sciences at the University of Pennsylvania[0m[38;5;12m (http://warrencenter.upenn.edu/).[39m
[38;5;12m-   [39m[38;5;14m[1mYale Institute for Network Science (YINS)[0m[38;5;12m (http://yins.yale.edu/).[39m

[38;2;255;187;0m[4mResearch Groups (Other)[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mNetwork-focused research centers, (reading) groups, institutes, labs – you name it – based outside of the USA.[39m

[38;5;12m-   [39m[38;5;14m[1mCambridge Networks Network (CNN)[0m[38;5;12m (http://www.cnn.group.cam.ac.uk/) - Research network on complex networks.[39m
[38;5;12m-   [39m[38;5;14m[1mCentre for Business Network Analysis, University of Greenwich[0m[38;5;12m (http://www.gre.ac.uk/business/research/centres/cbna/home) - Focused on economic/organisational network analysis.[39m
[38;5;12m-   [39m[38;5;14m[1mCenter for Network Science, Central European University, Budapest[0m[38;5;12m (http://cns.ceu.edu/) - Features a PhD in Network Science program.[39m
[38;5;12m-   [39m[38;5;14m[1mComplex Networks[0m[38;5;12m (http://www.complexnetworks.fr/) - Research group based in Paris.[39m
[38;5;12m-   [39m[38;5;14m[1mCx-Nets[0m[38;5;12m (http://www.cxnets.org/) - Virtual collaboration between four complex networks research groups.[39m
[38;5;12m-   [39m[38;5;14m[1mData Science Group[0m[38;5;12m (http://datasciencegroup.pl/) -  Wroclaw-based research group that studies, among many things, complex networks and other network-related topics.[39m
[38;5;12m-   [39m[38;5;14m[1mDigital Humanities[0m[38;5;12m (http://cmb.huma-num.fr/) - Interdisciplinary group of researchers at the Marc Bloch Centre in Berlin, with many network science projects.[39m
[38;5;12m-   [39m[38;5;14m[1mForschungscluster der Universitäten Trier und Mainz “Gesellschaftliche Abhängigkeiten und soziale Netzwerke”[0m[38;5;12m (http://www.netzwerk-exzellenz.uni-trier.de/), in German.[39m
[38;5;12m-   [39m[38;5;14m[1mGDR Analyse de réseaux en sciences humaines et sociales[0m[38;5;12m (https://arshs.hypotheses.org/) – French research group with funds to support training and workshops on network analysis for social scientists.[39m
[38;5;12m-   [39m[38;5;14m[1mHistorical Network Research (HNR)[0m[38;5;12m (http://historicalnetworkresearch.org/) - Platform for scholars interested in network analysis for historical research.[39m
[48;5;235m[38;5;249m-   **HNR Conferences, Workshops and Other Events** (http://historicalnetworkresearch.org/hnr-events/).[49m[39m
[48;5;235m[38;5;249m-   **HNR Talks** (https://vimeo.com/user11811027) - Videos, in German.[49m[39m[48;5;235m[38;5;249m                                [49m[39m
[38;5;12m-   [39m[38;5;14m[1mANR-Lab - International Laboratory for Applied Network Research[0m[38;5;12m (https://anr.hse.ru/en/) - Russian group based at the National Research University in Moscow.[39m
[48;5;235m[38;5;249m-   **Theory and Methods in Network Analysis (“TMSA”) Summer Schools** (https://anr.hse.ru/en/summer).[49m[39m
[38;5;12m-   [39m[38;5;14m[1mLarge Graphs and Networks[0m[38;5;12m (http://sites.uclouvain.be/networks/) - Research group at the Catholic University of Louvain ([39m[38;5;14m[1mofficial page[0m[38;5;12m (https://uclouvain.be/en/research-institutes/icteam/large-graphs-and-networks.html)).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mMelNet[0m[38;5;14m[1m [0m[38;5;14m[1mSocial[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mResearch[0m[38;5;14m[1m [0m[38;5;14m[1mGroup,[0m[38;5;14m[1m [0m[38;5;14m[1mSwinburne[0m[38;5;14m[1m [0m[38;5;14m[1mUniversity[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mTechnology[0m[38;5;12m [39m[38;5;12m(http://www.swinburne.edu.au/fbl/research/transformative-innovation/our-research/MelNet-social-network-group/).[39m[38;5;12m [39m[38;5;12mTwitter:[39m[38;5;12m [39m[38;5;14m[1m@melnetsna[0m[38;5;12m [39m
[38;5;12m(https://twitter.com/melnetsna).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mMitchell[0m[38;5;14m[1m [0m[38;5;14m[1mCentre[0m[38;5;14m[1m [0m[38;5;14m[1mfor[0m[38;5;14m[1m [0m[38;5;14m[1mSocial[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mAnalysis,[0m[38;5;14m[1m [0m[38;5;14m[1mUniversity[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mManchester[0m[38;5;12m [39m[38;5;12m(http://www.socialsciences.manchester.ac.uk/mitchell-centre/)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mCurrently[39m[38;5;12m [39m[38;5;12mstudies[39m[38;5;12m [39m[38;5;14m[1mcovert[0m[38;5;14m[1m [0m[38;5;14m[1mnetworks[0m[38;5;12m [39m
[38;5;12m(http://www.socialsciences.manchester.ac.uk/mitchell-centre/research/covert-networks/).[39m[38;5;12m [39m[38;5;12mTwitter:[39m[38;5;12m [39m[38;5;14m[1m@MitchellSNA[0m[38;5;12m [39m[38;5;12m(https://twitter.com/MitchellSNA).[39m
[38;5;12m-   [39m[38;5;14m[1mMurata Laboratory[0m[38;5;12m (http://www.net.c.titech.ac.jp/) - Tokyo-based research group, studying bi-, tri- and k-partite (hyper)networks.[39m
[38;5;12m-   [39m[38;5;14m[1mNetLab[0m[38;5;12m (http://www.urbancentre.utoronto.ca/researchgroups/netlab.html) - Research network at the University of Toronto, led by Barry Wellman.[39m
[38;5;12m-   [39m[38;5;14m[1mNetwork Science Research Centre, Swansea University[0m[38;5;12m (http://www.swansea.ac.uk/medicine/enterpriseandinnovation/networkscienceresearchcentre/).[39m
[38;5;12m-   [39m[38;5;14m[1mNetwork Dynamics[0m[38;5;12m (http://networkdynamics.org/) - Research Lab at McGill University, led by [39m[38;5;14m[1mDerek Ruths[0m[38;5;12m (http://www.derekruths.com/)[39m
[38;5;12m-   [39m[38;5;14m[1mNetzwerkerei[0m[38;5;12m (http://netzwerkerei.org/) - Historical research project on the connections between Jewish intellectuals.[39m
[38;5;12m-   [39m[38;5;14m[1mORIO - Observatoire des Réseaux Intra- et Inter-Organisationnels[0m[38;5;12m (http://blogs.sciences-po.fr/recherche-network-organization-institution-dynamics-multilevel/) - A research program on networks and regulation.[39m
[48;5;235m[38;5;249m-   **‘Réseaux et Régulation’ Conference Cycle** (http://blogs.sciences-po.fr/recherche-network-organization-institution-dynamics-multilevel/sminaire-rseaux-et-rgulation/) - Seminar based at Sciences Po in Paris, France.[49m[39m
[38;5;12m-   [39m[38;5;14m[1mRedes-Sociales[0m[38;5;12m (http://www.redes-sociales.net/), in Spanish - Information network based at the Universitat Autònoma de Barcelona.[39m
[38;5;12m-   [39m[38;5;14m[1mRES-HIST : Réseaux et histoire[0m[38;5;12m (https://reshist.hypotheses.org/), in French - Blog posts from a research group on historical networks.[39m
[48;5;235m[38;5;249m-   **RES-HIST Conferences** (https://reshist.hypotheses.org/?s=res-hist).[49m[39m
[38;5;12m-   [39m[38;5;14m[1mSocioPatterns[0m[38;5;12m (http://www.sociopatterns.org/) - Interdisciplinary research group that uses wireless sensors to study social network data.[39m
[38;5;12m-   [39m[38;5;14m[1mSoNAR-C - Social Network Analysis Research Center, University of Italian Switzerland (USi)[0m[38;5;12m (http://www.sonarcenter.eco.usi.ch/).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mTopographies[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mEntanglements.[0m[38;5;14m[1m [0m[38;5;14m[1mMapping[0m[38;5;14m[1m [0m[38;5;14m[1mMedieval[0m[38;5;14m[1m [0m[38;5;14m[1mNetworks[0m[38;5;12m [39m[38;5;12m(https://oeaw.academia.edu/TopographiesofEntanglements)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mResearch[39m[38;5;12m [39m[38;5;12mplatform[39m[38;5;12m [39m[38;5;12mbased[39m[38;5;12m [39m[38;5;12mat[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;12mAustrian[39m[38;5;12m [39m[38;5;12mAcademy[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mSciences[39m[38;5;12m [39m[38;5;12mthat[39m[38;5;12m [39m[38;5;12mfocuses[39m[38;5;12m [39m[38;5;12mon[39m[38;5;12m [39m[38;5;12mapplying[39m[38;5;12m [39m[38;5;12mnetwork[39m[38;5;12m [39m[38;5;12mtheory[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mvisualisation[39m
[38;5;12mto[39m[38;5;12m [39m[38;5;12mmedieval[39m[38;5;12m [39m[38;5;12mhistory.[39m
[38;5;12m-   [39m[38;5;14m[1mUCL Centre for Organisational Network Analysis (CONA)[0m[38;5;12m (https://www.ucl.ac.uk/cona).[39m
[38;5;12m-   [39m[38;5;14m[1mVirtual Observatory for the Study of Online Networks (VOSON)[0m[38;5;12m (http://vosonlab.net/) - Research and software development project located at the Australian National University.[39m

[38;2;255;187;0m[4mReview Articles[0m

[38;2;255;187;0m[4mArcheological and Historical Networks[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mSee[39m[38;5;12m [39m[38;5;12malso[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;12mbibliographies[39m[38;5;12m [39m[38;5;14m[1mby[0m[38;5;14m[1m [0m[38;5;14m[1mClaire[0m[38;5;14m[1m [0m[38;5;14m[1mLemercier[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mClaire[0m[38;5;14m[1m [0m[38;5;14m[1mZalc[0m[38;5;12m [39m[38;5;12m(http://www.quanti.ihmc.ens.fr/Analyse-de-reseaux-bibliographie.html)[39m[38;5;12m [39m[38;5;12m(section[39m[38;5;12m [39m[38;5;12mon[39m[38;5;12m [39m[38;5;12m‘_études[39m[38;5;12m [39m[38;5;12mstructurales_’),[39m[38;5;12m [39m[38;5;14m[1mby[0m[38;5;14m[1m [0m[38;5;14m[1mthe[0m[38;5;14m[1m [0m[38;5;14m[1mHistorical[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mResearch[0m[38;5;14m[1m [0m[38;5;14m[1mGroup[0m[38;5;12m [39m
[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12m(http://historicalnetworkresearch.org/resources/bibliography/),[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;14m[1mby[0m[38;5;14m[1m [0m[38;5;14m[1mTom[0m[38;5;14m[1m [0m[38;5;14m[1mBrughmans[0m[38;5;12m [39m[38;5;12m(https://archaeologicalnetworks.wordpress.com/network-science-bibliography/).[39m

[38;5;12m-   [39m[38;5;14m[1mAnalyse de réseaux et histoire[0m[38;5;12m (https://doi.org/10.3917/rhmc.522.0088), in French (_Revue d’histoire moderne et contemporaine_, 2005).[39m
[38;5;12m-   [39m[38;5;14m[1mAnalyser les réseaux du passé en archéologie et en histoire[0m[38;5;12m (https://doi.org/10.4000/nda.2300), in French (_Les Nouvelles de l’Archéologie_, 2014).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mFormale[0m[38;5;14m[1m [0m[38;5;14m[1mMethoden[0m[38;5;14m[1m [0m[38;5;14m[1mder[0m[38;5;14m[1m [0m[38;5;14m[1mNetzwerkanalyse[0m[38;5;14m[1m [0m[38;5;14m[1min[0m[38;5;14m[1m [0m[38;5;14m[1mden[0m[38;5;14m[1m [0m[38;5;14m[1mGeschichtswissenschaften:[0m[38;5;14m[1m [0m[38;5;14m[1mWarum[0m[38;5;14m[1m [0m[38;5;14m[1mund[0m[38;5;14m[1m [0m[38;5;14m[1mWie?[0m[38;5;14m[1m [0m[38;5;12mFormal[39m[38;5;12m [39m[38;5;12mNetwork[39m[38;5;12m [39m[38;5;12mMethods[39m[38;5;12m [39m[38;5;12min[39m[38;5;12m [39m[38;5;12mHistory:[39m[38;5;12m [39m[38;5;12mWhy[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mHow?[39m[38;5;14m[1m [0m[38;5;12m [39m[38;5;12m(http://www.studienverlag.at/data.cfm?vpath=openaccess/oezg-12012-lemercier&download=yes),[39m[38;5;12m [39m[38;5;12min[39m[38;5;12m [39m
[38;5;12mGerman[39m[38;5;12m [39m[38;5;12m([39m[38;5;14m[1mpreprint[0m[38;5;14m[1m [0m[38;5;14m[1min[0m[38;5;14m[1m [0m[38;5;14m[1mEnglish[0m[38;5;12m [39m[38;5;12m(https://shs.hal.science/halshs-00521527);[39m[38;5;12m [39m[38;5;12m_Österreichische[39m[38;5;12m [39m[38;5;12mZeitschrift[39m[38;5;12m [39m[38;5;12mfür[39m[38;5;12m [39m[38;5;12mGeschichtswissenschaften_,[39m[38;5;12m [39m[38;5;12m2012).[39m
[38;5;12m-   [39m[38;5;14m[1mFrom Hermeneutics to Data to Networks: Data Extraction and Network Visualization of Historical Sources[0m[38;5;12m (http://programminghistorian.org/lessons/creating-network-diagrams-from-historical-sources) (_Programming Historian_, 2015).[39m
[38;5;12m-   [39m[38;5;14m[1mGraph Theory and Networks in Biology[0m[38;5;12m (https://doi.org/10.1049/iet-syb:20060038) ([39m[38;5;14m[1mpreprint[0m[38;5;12m (https://arxiv.org/abs/q-bio/0604006); _IET Systems Biology_, 2007).[39m
[38;5;12m-   [39m[38;5;14m[1mIntroduction à la visualisation de données : l’analyse de réseau en histoire[0m[38;5;12m (https://www.martingrandjean.ch/introduction-visualisation-de-donnees-analyse-de-reseau-histoire/), in French (_Geschichte und Informatik_, 2015).[39m
[38;5;12m-   [39m[38;5;14m[1mIntroduction : où en est l’analyse de réseaux en histoire ? [0m[38;5;12mIntroducción: ¿en qué punto se encuentra el análisis de redes en Historia?[39m[38;5;14m[1m [0m[38;5;12m (https://doi.org/10.5565/rev/redes.416), in French and Spanish (_REDES_, 2011).[39m
[38;5;12m-   [39m[38;5;14m[1mNetworks and History[0m[38;5;12m (https://doi.org/10.1002/cplx.10054) (_Complexity_, 2002).[39m
[38;5;12m-   [39m[38;5;14m[1mNetworks in Historical Research[0m[38;5;12m (http://www.themacroscope.org/?page_id=308) (in _The Historian’s Macroscope_, 2013).[39m
[38;5;12m-   [39m[38;5;14m[1mNetworks of Power in Archaeology[0m[38;5;12m (https://doi.org/10.1146/annurev-anthro-102313-025901) (_Annual Review of Anthropology_, 2014).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mNetzwerkanalyse[0m[38;5;14m[1m [0m[38;5;14m[1min[0m[38;5;14m[1m [0m[38;5;14m[1mden[0m[38;5;14m[1m [0m[38;5;14m[1mGeschichtswissenschaften.[0m[38;5;14m[1m [0m[38;5;14m[1mHistorische[0m[38;5;14m[1m [0m[38;5;14m[1mNetzwerkanalyse[0m[38;5;14m[1m [0m[38;5;14m[1mals[0m[38;5;14m[1m [0m[38;5;14m[1mMethode[0m[38;5;14m[1m [0m[38;5;14m[1mfür[0m[38;5;14m[1m [0m[38;5;14m[1mdie[0m[38;5;14m[1m [0m[38;5;14m[1mErforschung[0m[38;5;14m[1m [0m[38;5;14m[1mvon[0m[38;5;14m[1m [0m[38;5;14m[1mhistorischen[0m[38;5;14m[1m [0m[38;5;14m[1mProzessen[0m[38;5;12m [39m
[38;5;12m(https://www.researchgate.net/publication/300723171_Netzwerkanalyse_in_den_Geschichtswissenschaften_Historische_Netzwerkanalyse_als_Methode_fur_die_Erforschung_von_historischen_Prozessen),[39m[38;5;12m [39m[38;5;12min[39m[38;5;12m [39m[38;5;12mGerman[39m[38;5;12m [39m[38;5;12m(_[39m[38;5;14m[1mProzesse.[0m[38;5;14m[1m [0m[38;5;14m[1mFormen,[0m[38;5;14m[1m [0m[38;5;14m[1mDynamiken,[0m[38;5;14m[1m [0m
[38;5;14m[1mErklärungen[0m[38;5;12m [39m[38;5;12m(https://www.springer.com/de/book/9783531176604)_,[39m[38;5;12m [39m[38;5;12m2015).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mThe[0m[38;5;14m[1m [0m[38;5;14m[1mRoots[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mShoots[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mArchaeological[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mAnalysis:[0m[38;5;14m[1m [0m[38;5;14m[1mA[0m[38;5;14m[1m [0m[38;5;14m[1mCitation[0m[38;5;14m[1m [0m[38;5;14m[1mAnalysis[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mReview[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mthe[0m[38;5;14m[1m [0m[38;5;14m[1mArchaeological[0m[38;5;14m[1m [0m[38;5;14m[1mUse[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mFormal[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mMethods[0m[38;5;12m [39m
[38;5;12m(https://www.academia.edu/6925120/Brughmans_T._2014_._The_roots_and_shoots_of_archaeological_network_analysis_A_citation_analysis_and_review_of_the_archaeological_use_of_formal_network_methods._Archaeological_Review_from_Cambridge_29_1_[39m
[38;5;12m)[39m[38;5;12m [39m[38;5;12m(_Archaeological[39m[38;5;12m [39m[38;5;12mReview[39m[38;5;12m [39m[38;5;12mfrom[39m[38;5;12m [39m[38;5;12mCambridge_,[39m[38;5;12m [39m[38;5;12m2014).[39m
[38;5;12m-   [39m[38;5;14m[1mThinking Through Networks: A Review of Formal Network Methods in Archaeology[0m[38;5;12m (https://doi.org/10.1007/s10816-012-9133-8) (_Journal of Archaeological Method and Theory_, 2013).[39m

[38;2;255;187;0m[4mBibliographic, Citation and Semantic Networks[0m

[38;5;12m-   [39m[38;5;14m[1mAssessing Impact and Quality from Local Dynamics of Citation Networks[0m[38;5;12m (https://doi.org/10.1016/j.joi.2011.08.005) (_Journal of Informetrics_, 2012).[39m
[38;5;12m-   [39m[38;5;14m[1mAtypical Combinations and Scientific Impact[0m[38;5;12m (https://doi.org/10.1126/science.1240474) (_Science_, 2013).[39m
[38;5;12m-   [39m[38;5;14m[1mOn Bibliographic Networks[0m[38;5;12m (https://doi.org/10.1007/s11192-012-0940-1) (_Scientometrics_, 2013).[39m
[38;5;12m-   [39m[38;5;14m[1mDynamic Scientific Co-Authorship Networks[0m[38;5;12m (http://patrickdoreian.com/wp-content/uploads/2017/12/dynamic-scientific-coauthorship-networks.pdf) (_[39m[38;5;14m[1mModels of Science Dynamics[0m[38;5;12m (https://www.springer.com/us/book/9783642230677)_, 2012).[39m
[38;5;12m-   [39m[38;5;14m[1mExtracting Citation Networks from Publications in Classics[0m[38;5;12m (http://www.digitalhumanities.org/dhq/vol/10/2/000255/000255.html) (_Digital Humanities Quarterly_, 2016).[39m
[38;5;12m-   [39m[38;5;14m[1mSelf-Citations, Co-Authorships and Keywords: A New Approach to Scientists’ Field Mobility?[0m[38;5;12m (https://doi.org/10.1007/s11192-007-1680-5) (_Scientometrics_, 2007).[39m
[38;5;12m-   [39m[38;5;14m[1mSocio-Semantic Frameworks[0m[38;5;12m (https://doi.org/10.1142/S0219525913500136) ([39m[38;5;14m[1mpreprint[0m[38;5;12m (http://camille.roth.free.fr/travaux/roth--sociosemantic-systems-acs-proofs.pdf); _Advances in Complex Systems_, 2013).[39m
[38;5;12m-   [39m[38;5;14m[1mSocio-Semantic Modeling of Epistemic Communities[0m[38;5;12m (https://ssrn.com/abstract=2452614) (APSA, 2014).[39m
[38;5;12m-   [39m[38;5;14m[1mTradition and Innovation in Scientists’ Research Strategies[0m[38;5;12m (https://doi.org/10.1177/0003122415601618) (_Annual Review of Sociology_, 2015).[39m

[38;2;255;187;0m[4mBiological, Ecological and Disease Networks[0m

[38;5;12m-   [39m[38;5;14m[1mBiological Networks[0m[38;5;12m (http://kops.uni-konstanz.de/handle/123456789/25907) (_Handbook of Graph Drawing and Visualization_, 2014).[39m
[38;5;12m-   [39m[38;5;14m[1mInteractome Networks and Human Disease[0m[38;5;12m (https://barabasi.com/f/326.pdf) (_Cell_, 2011).[39m
[38;5;12m-   [39m[38;5;14m[1mNetwork Analysis: An Integrative Approach to the Structure of Psychopathology[0m[38;5;12m (https://doi.org/10.1146/annurev-clinpsy-050212-185608) (_Annual Review of Clinical Psychology_, 2013).[39m
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[38;5;12m-   [39m[38;5;14m[1mSocial Networks and the Spread of Infectious Diseases: the AIDS Example[0m[38;5;12m (https://doi.org/10.1016/0277-9536(85)90269-2) (_Social Networks_, 1985).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mStructure[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mDynamics[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mMolecular[0m[38;5;14m[1m [0m[38;5;14m[1mNetworks:[0m[38;5;14m[1m [0m[38;5;14m[1mA[0m[38;5;14m[1m [0m[38;5;14m[1mNovel[0m[38;5;14m[1m [0m[38;5;14m[1mParadigm[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mDrug[0m[38;5;14m[1m [0m[38;5;14m[1mDiscovery.[0m[38;5;14m[1m [0m[38;5;14m[1mA[0m[38;5;14m[1m [0m[38;5;14m[1mComprehensive[0m[38;5;14m[1m [0m[38;5;14m[1mReview[0m[38;5;12m [39m[38;5;12m(https://doi.org/10.1016/j.pharmthera.2013.01.016)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mAlso[39m[38;5;12m [39m[38;5;12mincludes[39m[38;5;12m [39m[38;5;12man[39m[38;5;12m [39m[38;5;12mimpressive[39m[38;5;12m [39m[38;5;12mlist[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mnetwork[39m[38;5;12m [39m[38;5;12manalysis[39m[38;5;12m [39m[38;5;12msoftware[39m[38;5;12m [39m
[38;5;12m(_Pharmacology[39m[38;5;12m [39m[38;5;12m&[39m[38;5;12m [39m[38;5;12mTherapeutics_,[39m[38;5;12m [39m[38;5;12m2013).[39m

[38;2;255;187;0m[4mComplex and Multilayer Networks[0m

[38;5;12m-   [39m[38;5;14m[1mThe Architecture of Complexity[0m[38;5;12m (https://barabasi.com/f/226.pdf) - From network theory to complexity theory (_IEEE Control Systems Magazine_, 2007).[39m
[38;5;12m-   [39m[38;5;14m[1mComplex Systems and Networks[0m[38;5;12m (https://www.science.org/toc/science/325/5939) (special issue of _Science_, 2009).[39m
[38;5;12m-   [39m[38;5;14m[1mMultilayer Networks in a Nutshell[0m[38;5;12m (https://doi.org/10.1146/annurev-conmatphys-031218-013259) (_Annual Review of Condensed Matter Physics_, 2019).[39m
[38;5;12m-   [39m[38;5;14m[1mStatistical Mechanics of Complex Networks[0m[38;5;12m (https://barabasi.com/f/103.pdf) (_Reviews of Modern Physics_, 2002).[39m
[38;5;12m-   [39m[38;5;14m[1mThe Structure and Function of Complex Networks[0m[38;5;12m (https://doi.org/10.1137/S003614450342480) (_SIAM Review_, 2003).[39m

[38;2;255;187;0m[4mEthics of Network Analysis[0m

[38;5;12m-   [39m[38;5;14m[1mA Cautionary Note on Data Inputs and Visual Outputs in Social Network Analysis (SNA)[0m[38;5;12m (https://doi.org/10.1111/j.1467-8551.2012.00835.x) ([39m[38;5;14m[1mpreprint[0m[38;5;12m [39m[38;5;14m[1mconway2014[0m[38;5;12m ; _British Journal of Management_, 2014).[39m
[38;5;12m-   [39m[38;5;14m[1mEthical Dilemmas in Social Network Research[0m[38;5;12m (https://www.sciencedirect.com/journal/social-networks/vol/27/issue/2) (special issue of _Social Networks_, 2005).[39m
[38;5;12m-   [39m[38;5;14m[1mEthical and Strategic Issues in Organizational Social Network Analysis[0m[38;5;12m (http://www.analytictech.com/borgatti/papers/ethics.pdf) (_The Journal of Applied Behavioral Science_, 2003).[39m

[38;5;14m[1mconway2014[0m[38;5;12m : https://lra.le.ac.uk/bitstream/2381/36068/2/Draft%20BJM%20Revised%20(3rd%20iteration)%20Manuscript.pdf[39m

[38;2;255;187;0m[4mNetwork Modeling[0m

[38;5;12m-   [39m[38;5;14m[1mA Brief History of Statistical Models for Network Analysis and Open Challenges[0m[38;5;12m [39m[38;5;14m[1mfienberg2012[0m[38;5;12m  (_Journal of Computational and Graphical Statistics_, 2012).[39m
[38;5;12m-   [39m[38;5;14m[1mBasic Models and Questions in Statistical Network Analysis[0m[38;5;12m (https://projecteuclid.org/euclid.ssu/1504836152) (_Statistics Surveys_, 2017).[39m
[38;5;12m-   [39m[38;5;14m[1mIntroduction to Stochastic Actor-Based Models for Network Dynamics[0m[38;5;12m (https://doi.org/10.1016/j.socnet.2009.02.004) ([39m[38;5;14m[1mpreprint[0m[38;5;12m (http://www.stats.ox.ac.uk/~snijders/SnijdersSteglichVdBunt2009.pdf); _Social Networks_, 2010).[39m
[38;5;12m-   [39m[38;5;14m[1mNavigating the Range of Statistical Tools for Inferential Network Analysis[0m[38;5;12m (https://doi.org/10.1111/ajps.12263) (_American Journal of Political Science_, 2017).[39m
[38;5;12m-   [39m[38;5;14m[1mPositional Analysis and Blockmodeling[0m[38;5;12m (http://link.springer.com/referenceworkentry/10.1007%2F978-1-4614-1800-9_138) (_Computational Complexity_, 2012).[39m
[38;5;12m-   [39m[38;5;14m[1mSocial Network Evolution and Actor Oriented Models[0m[38;5;12m (https://doi.org/10.4000/msh.2750) (_Mathematics & Social Sciences_, 1997).[39m
[38;5;12m-   [39m[38;5;14m[1mStatistical Models for Social Networks[0m[38;5;12m (https://doi.org/10.1146/annurev.soc.012809.102709) (_Annual Review of Sociology_, 2011).[39m
[38;5;12m-   [39m[38;5;14m[1mA Survey of Statistical Network Models[0m[38;5;12m (https://dl.acm.org/citation.cfm?id=1734795) - Book-length review ([39m[38;5;14m[1mpreprint[0m[38;5;12m (https://arxiv.org/abs/0912.5410); _Foundations and Trends in Machine Learning_, 2010).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mA[0m[38;5;14m[1m [0m[38;5;14m[1mUnified[0m[38;5;14m[1m [0m[38;5;14m[1mView[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mGenerative[0m[38;5;14m[1m [0m[38;5;14m[1mModels[0m[38;5;14m[1m [0m[38;5;14m[1mfor[0m[38;5;14m[1m [0m[38;5;14m[1mNetworks:[0m[38;5;14m[1m [0m[38;5;14m[1mModels,[0m[38;5;14m[1m [0m[38;5;14m[1mMethods,[0m[38;5;14m[1m [0m[38;5;14m[1mOpportunities,[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mChallenges[0m[38;5;12m [39m[38;5;12m(https://arxiv.org/abs/1411.4070)[39m[38;5;12m [39m[38;5;12m([39m[38;5;14m[1mvideo[0m[38;5;14m[1m [0m[38;5;14m[1mpresentation[0m[38;5;12m [39m
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[38;5;12m(https://410f84824e101297359cc81c78f45c7c079eb26c.googledrive.com/host/0Bz6WHrWac3FrWnA5MjZqb3lWa2c/)”).[39m

[38;5;14m[1mfienberg2012[0m[38;5;12m : http://www.stat.cmu.edu/~brian/780/hw01/Fienberg%20(2012)%20A%20Brief%20History%20of%20Statistical%20Models%20for%20Network%20Analysis%20and%20Open%20Challenges.pdf[39m

[38;2;255;187;0m[4mNetwork Visualization[0m

[38;5;12m-   [39m[38;5;14m[1mExplorations into the Visualization of Policy Networks[0m[38;5;12m (https://www.academia.edu/17565685/Explorations_into_the_Visualization_of_Policy_Networks) (_Journal of Theoretical Politics_, 1999).[39m
[38;5;12m-   [39m[38;5;14m[1mGraphical Techniques for Exploring Social Network Data[0m[38;5;12m (http://moreno.ss.uci.edu/87.pdf) (_Models and Methods in Social Network Analysis_, 2005).[39m
[38;5;12m-   [39m[38;5;14m[1mMethods of Social Network Visualization[0m[38;5;12m (http://moreno.ss.uci.edu/90.pdf) (_Encyclopedia of Complexity and Systems Science_, 2009; [39m[38;5;14m[1mposter version[0m[38;5;12m (http://www.pfeffer.at/data/visposter/)).[39m
[38;5;12m-   [39m[38;5;14m[1mSocial Networks[0m[38;5;12m (http://moreno.ss.uci.edu/93.pdf) (_Handbook of Graph Drawing and Visualization_, 2013).[39m

[38;2;255;187;0m[4mSocial, Economic and Political Networks[0m

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[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12m(http://socio.ens-lyon.fr/merckle/merckle_communications_2008_cargese_reseaux_nuls_biblio.pdf).[39m

[38;5;12m-   [39m[38;5;14m[1mA propos de la notion de rôle dans l’analyse des relations sociales[0m[38;5;12m (https://doi.org/10.4000/msh.11969) (_Mathématiques et sciences humaines_, 2011).[39m
[38;5;12m-   [39m[38;5;14m[1mBrokerage[0m[38;5;12m (https://doi.org/10.1146/annurev-soc-081309-150054) (_Annual Review of Sociology_, 2012).[39m
[38;5;12m-   [39m[38;5;14m[1mBirds of a Feather: Homophily in Social Networks[0m[38;5;12m (https://doi.org/10.1146/annurev.soc.27.1.415) (_Annual Review of Sociology_, 2001).[39m
[38;5;12m-   [39m[38;5;14m[1mMixed-Method Approaches to Social Network Analysis[0m[38;5;12m (http://eprints.ncrm.ac.uk/842/) (ESRC NCRM Discussion Paper, 2010).[39m
[38;5;12m-   [39m[38;5;14m[1mNetwork Analysis and Political Science[0m[38;5;12m (https://doi.org/10.1146/annurev.polisci.12.040907.115949) (_Annual Review of Political Science_, 2011).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mAnalysis[0m[38;5;14m[1m [0m[38;5;14m[1mfor[0m[38;5;14m[1m [0m[38;5;14m[1mInternational[0m[38;5;14m[1m [0m[38;5;14m[1mRelations[0m[38;5;12m [39m[38;5;12m(https://www.cambridge.org/core/journals/international-organization/article/div-classtitlenetwork-analysis-for-international-relationsdiv/DE2910979C1B5C44C4CC13F336C5DE97)[39m[38;5;12m [39m[38;5;12m(_International[39m
[38;5;12mOrganization_,[39m[38;5;12m [39m[38;5;12m2009).[39m
[38;5;12m-   [39m[38;5;14m[1mNetwork Analysis in the Social Sciences[0m[38;5;12m (http://science.sciencemag.org/content/323/5916/892) (_Science_, 2009).[39m
[38;5;12m-   [39m[38;5;14m[1mNetworks and Trade[0m[38;5;12m (https://doi.org/10.1146/annurev-economics-080217-053506) (_Annual Review of Economics_, 2018).[39m
[38;5;12m-   [39m[38;5;14m[1mNetworks in Social Psychology, Beginning with Kurt Lewin[0m[38;5;12m (http://link.springer.com/10.1007%2F978-1-4614-6170-8_79) (_[39m[38;5;14m[1mEncyclopedia of Social Network Analysis and Mining[0m[38;5;12m (https://www.springer.com/us/book/9781461461692)_, 2014).[39m
[38;5;12m-   [39m[38;5;14m[1mNetworks in the Understanding of Economic Behaviors[0m[38;5;12m (https://www.aeaweb.org/articles?id=10.1257/jep.28.4.3) (_Journal of Economic Perspectives_, 2014).[39m
[38;5;12m-   [39m[38;5;14m[1mPositions and Roles[0m[38;5;12m (http://sk.sagepub.com/reference/the-sage-handbook-of-social-network-analysis/n29.xml) (_[39m[38;5;14m[1mThe SAGE Handbook of Social Network Analysis[0m[38;5;12m (http://www.sagepub.in/books/Book232753/)_, 2011).[39m
[38;5;12m-   [39m[38;5;14m[1mThe Social and the Sexual: Networks in Contemporary Demographic Research[0m[38;5;12m (http://repository.upenn.edu/psc_working_papers/41/) (PSC Working Paper Series, 2013).[39m
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[38;5;12m-   [39m[38;5;14m[1mSocial Networks and Crime: Pitfalls and Promises for Advancing the Field[0m[38;5;12m (https://doi.org/10.1146/annurev-criminol-011518-024701) (_Annual Review of Criminology_, 2019).[39m
[38;5;12m-   Urban Social Networks: Some Methodological Problems and Possibilities ([39m[38;5;14m[1m_The Small World_[0m[38;5;12m (https://www.worldcat.org/title/small-world/oclc/925078340&referer=brief_results), 1989).[39m

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[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mThe[0m[38;5;14m[1m [0m[38;5;14m[1mStrength[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mWeak[0m[38;5;14m[1m [0m[38;5;14m[1mTies[0m[38;5;12m [39m[38;5;12m(https://sociology.stanford.edu/sites/default/files/publications/the_strength_of_weak_ties_and_exch_w-gans.pdf),[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mMark[39m[38;5;12m [39m[38;5;12mGranovetter[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mArch-classic[39m[38;5;12m [39m[38;5;12mexample[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mapplying[39m[38;5;12m [39m[38;5;12mnetwork[39m[38;5;12m [39m[38;5;12manalysis[39m[38;5;12m [39m[38;5;12mto[39m[38;5;12m [39m[38;5;12ma[39m[38;5;12m [39m[38;5;12msocial[39m[38;5;12m [39m[38;5;12missue:[39m[38;5;12m [39m
[38;5;12mjobseeking[39m[38;5;12m [39m[38;5;12m(_American[39m[38;5;12m [39m[38;5;12mJournal[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mSociology_,[39m[38;5;12m [39m[38;5;12m1973).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mThe[0m[38;5;14m[1m [0m[38;5;14m[1mTies[0m[38;5;14m[1m [0m[38;5;14m[1mthat[0m[38;5;14m[1m [0m[38;5;14m[1mDivide:[0m[38;5;14m[1m [0m[38;5;14m[1mA[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mAnalysis[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mthe[0m[38;5;14m[1m [0m[38;5;14m[1mInternational[0m[38;5;14m[1m [0m[38;5;14m[1mMonetary[0m[38;5;14m[1m [0m[38;5;14m[1mSystem,[0m[38;5;14m[1m [0m[38;5;14m[1m1890–1910[0m[38;5;12m [39m[38;5;12m(http://www.stats.ox.ac.uk/~snijders/FlandreauJobst2005.pdf)[39m[38;5;12m [39m[38;5;12m(_The[39m[38;5;12m [39m[38;5;12mJournal[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mEconomic[39m[38;5;12m [39m[38;5;12mHistory_,[39m[38;5;12m [39m[38;5;12m2005)[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;14m[1mThe[0m[38;5;14m[1m [0m[38;5;14m[1mEmpirics[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mInternational[0m[38;5;14m[1m [0m
[38;5;14m[1mCurrencies:[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mExternalities,[0m[38;5;14m[1m [0m[38;5;14m[1mHistory[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mPersistence[0m[38;5;12m [39m[38;5;12m(https://doi.org/10.1111/j.1468-0297.2009.02219.x)[39m[38;5;12m [39m[38;5;12m(_The[39m[38;5;12m [39m[38;5;12mEconomic[39m[38;5;12m [39m[38;5;12mJournal_,[39m[38;5;12m [39m[38;5;12m2009),[39m[38;5;12m [39m[38;5;12mboth[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mMarc[39m[38;5;12m [39m[38;5;12mFlandreau[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mClemens[39m[38;5;12m [39m[38;5;12mJobst[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mNetwork[39m[38;5;12m [39m[38;5;12manalysis[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;12mforeign[39m[38;5;12m [39m[38;5;12mexchange[39m[38;5;12m [39m[38;5;12msystem[39m[38;5;12m [39m[38;5;12min[39m[38;5;12m [39m
[38;5;12mthe[39m[38;5;12m [39m[38;5;12mlate[39m[38;5;12m [39m[38;5;12m19th[39m[38;5;12m [39m[38;5;12mcentury[39m[38;5;12m [39m[38;5;12m([39m[38;5;14m[1mdata[0m[38;5;12m [39m[38;5;12m(http://eh.net/database/international-currencies-1890-1910/)).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mTopics[0m[38;5;14m[1m [0m[38;5;14m[1min[0m[38;5;14m[1m [0m[38;5;14m[1mSocial[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mAnalysis[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mScience[0m[38;5;12m [39m[38;5;12m(https://arxiv.org/abs/1404.0067),[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mA.[39m[38;5;12m [39m[38;5;12mJames[39m[38;5;12m [39m[38;5;12mO’Malley[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mJukka-Pekka[39m[38;5;12m [39m[38;5;12mOnnela[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12m50-page[39m[38;5;12m [39m[38;5;12mintroduction[39m[38;5;12m [39m[38;5;12mto[39m[38;5;12m [39m[38;5;12mnetwork[39m[38;5;12m [39m[38;5;12manalysis,[39m[38;5;12m [39m[38;5;12mwith[39m[38;5;12m [39m[38;5;12mjust[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;12mright[39m[38;5;12m [39m[38;5;12mamount[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mdetail[39m[38;5;12m [39m[38;5;12mon[39m[38;5;12m [39m[38;5;12mall[39m[38;5;12m [39m[38;5;12maspects[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m
[38;5;12mit[39m[38;5;12m [39m[38;5;12m(_The[39m[38;5;12m [39m[38;5;12mHandbook[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mHealth[39m[38;5;12m [39m[38;5;12mServices[39m[38;5;12m [39m[38;5;12mResearch_,[39m[38;5;12m [39m[38;5;12mforthcoming[39m[38;5;12m [39m[38;5;12m2017).[39m

[38;2;255;187;0m[4mSoftware[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mFor a hint of why this section of the list might be useful to some, see [39m[38;5;14m[1mMark Round’s Map of Data Formats and Software Tools[0m[38;5;12m (http://mdround.blogs.com/usingnetworks/2009/07/sna-tools-and-formats-diagram-updated.html) (2009).  [39m
[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mSeveral[39m[38;5;12m [39m[38;5;12mlinks[39m[38;5;12m [39m[38;5;12min[39m[38;5;12m [39m[38;5;12mthis[39m[38;5;12m [39m[38;5;12msection[39m[38;5;12m [39m[38;5;12mcome[39m[38;5;12m [39m[38;5;12mfrom[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;14m[1mNetWiki[0m[38;5;14m[1m [0m[38;5;14m[1mShared[0m[38;5;14m[1m [0m[38;5;14m[1mCode[0m[38;5;12m [39m[38;5;12m(http://netwiki.amath.unc.edu/SharedCode/SharedCode)[39m[38;5;12m [39m[38;5;12mpage,[39m[38;5;12m [39m[38;5;12mfrom[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;12mCambridge[39m[38;5;12m [39m[38;5;12mNetworks[39m[38;5;12m [39m[38;5;12mNetwork[39m[38;5;12m [39m[38;5;14m[1mList[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mResources[0m[38;5;14m[1m [0m[38;5;14m[1mfor[0m[38;5;14m[1m [0m[38;5;14m[1mComplex[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mAnalysis[0m[38;5;12m [39m
[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12m(http://www.cnn.group.cam.ac.uk/Resources),[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mfrom[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;14m[1mSoftware[0m[38;5;14m[1m [0m[38;5;14m[1mfor[0m[38;5;14m[1m [0m[38;5;14m[1mSocial[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mAnalysis[0m[38;5;12m [39m[38;5;12m(http://www.gmw.rug.nl/~huisman/sna/software.html)[39m[38;5;12m [39m[38;5;12mpage[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mMark[39m[38;5;12m [39m[38;5;12mHuisman[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mMarijtje[39m[38;5;12m [39m[38;5;12mA.J.[39m[38;5;12m [39m[38;5;12mvan[39m[38;5;12m [39m[38;5;12mDuijn.[39m[38;5;12m [39m[38;5;12mFor[39m[38;5;12m [39m[38;5;12ma[39m[38;5;12m [39m[38;5;12mrecent[39m[38;5;12m [39m[38;5;12macademic[39m[38;5;12m [39m[38;5;12mreview[39m[38;5;12m [39m[38;5;12mon[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m
[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12msubject,[39m[38;5;12m [39m[38;5;12msee[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;14m[1mSocial[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mAlgorithms[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mSoftware[0m[38;5;12m [39m[38;5;12m(https://doi.org/10.1016/B978-0-08-097086-8.43121-1)[39m[38;5;12m [39m[38;5;12mentry[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;12m_International[39m[38;5;12m [39m[38;5;12mEncyclopedia[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mSocial[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mBehavioral[39m[38;5;12m [39m[38;5;12mSciences_,[39m[38;5;12m [39m[38;5;12m2nd[39m[38;5;12m [39m[38;5;12medition[39m[38;5;12m [39m[38;5;12m(2015).[39m[38;5;12m  [39m
[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mSee[39m[38;5;12m [39m[38;5;12malso[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;14m[1mSocial[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mAnalysis[0m[38;5;14m[1m [0m[38;5;14m[1mProject[0m[38;5;14m[1m [0m[38;5;14m[1mSurvey[0m[38;5;12m [39m[38;5;12m(https://docs.google.com/spreadsheets/d/1Xo-ehJatzmxMek6gPG0h-d7yRSuiO6_flViTQNMAku0/edit#gid=0)[39m[38;5;12m [39m[38;5;12m([39m[38;5;14m[1mblog[0m[38;5;14m[1m [0m[38;5;14m[1mpost[0m[38;5;12m [39m[38;5;12m(http://pudo.org/blog/2013/12/21/sna-survey.html)),[39m[38;5;12m [39m[38;5;12man[39m[38;5;12m [39m[38;5;12mearlier[39m[38;5;12m [39m[38;5;12mattempt[39m[38;5;12m [39m[38;5;12mto[39m[38;5;12m [39m
[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mchart[39m[38;5;12m [39m[38;5;12msocial[39m[38;5;12m [39m[38;5;12mnetwork[39m[38;5;12m [39m[38;5;12manalysis[39m[38;5;12m [39m[38;5;12mtools[39m[38;5;12m [39m[38;5;12mthat[39m[38;5;12m [39m[38;5;12mlinks[39m[38;5;12m [39m[38;5;12mto[39m[38;5;12m [39m[38;5;12mmany[39m[38;5;12m [39m[38;5;12mcommercial[39m[38;5;12m [39m[38;5;12mplatforms[39m[38;5;12m [39m[38;5;12mnot[39m[38;5;12m [39m[38;5;12mincluded[39m[38;5;12m [39m[38;5;12min[39m[38;5;12m [39m[38;5;12mthis[39m[38;5;12m [39m[38;5;12mlist,[39m[38;5;12m [39m[38;5;12msuch[39m[38;5;12m [39m[38;5;12mas[39m[38;5;12m [39m[38;5;14m[1mDetective.io[0m[38;5;12m [39m[38;5;12m(http://www.detective.io/).[39m[38;5;12m [39m[38;5;12mThe[39m[38;5;12m [39m[38;5;12mWikipedia[39m[38;5;12m [39m[38;5;12mEnglish[39m[38;5;12m [39m[38;5;12mentry[39m[38;5;12m [39m[38;5;12mon[39m[38;5;12m [39m[38;5;14m[1mSocial[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mAnalysis[0m[38;5;14m[1m [0m[38;5;14m[1mSoftware[0m[38;5;12m [39m
[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12m(https://en.wikipedia.org/wiki/Social_network_analysis_software)[39m[38;5;12m [39m[38;5;12malso[39m[38;5;12m [39m[38;5;12mlinks[39m[38;5;12m [39m[38;5;12mto[39m[38;5;12m [39m[38;5;12mmany[39m[38;5;12m [39m[38;5;12mcommercial[39m[38;5;12m [39m[38;5;12mthat[39m[38;5;12m [39m[38;5;12mare[39m[38;5;12m [39m[38;5;12moften[39m[38;5;12m [39m[38;5;12mvery[39m[38;5;12m [39m[38;5;12mexpensive,[39m[38;5;12m [39m[38;5;12moutdated,[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mfar[39m[38;5;12m [39m[38;5;12mfrom[39m[38;5;12m [39m[38;5;12mbeing[39m[38;5;12m [39m[38;5;12mawesome[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12many[39m[38;5;12m [39m[38;5;12mreasonable[39m[38;5;12m [39m[38;5;12mstandard.[39m[38;5;12m  [39m
[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mSoftware-centric tutorials are listed below their program of choice: other tutorials are listed [39m[38;5;14m[1min the next section[0m[38;5;12m (#tutorials).[39m

[38;5;12m-   [39m[38;5;14m[1mArcGIS Network Analyst[0m[38;5;12m (http://www.esri.com/software/arcgis/extensions/networkanalyst) - Network-based spatial analysis software for solving complex routing problems.[39m
[38;5;12m-   [39m[38;5;14m[1mCFinder[0m[38;5;12m (http://www.cfinder.org/) - Cross-platform Java program to identify clusters and communities through the Clique Percolation Method (CPM).[39m
[38;5;12m-   [39m[38;5;14m[1mCircos[0m[38;5;12m (http://circos.ca/) - Cross-platform program to produce circular layouts of network data, written in Perl.[39m
[38;5;12m-   [39m[38;5;14m[1mCytoscape[0m[38;5;12m (http://www.cytoscape.org/) - Cross-platform Java program to build, analyze and visualize networks. Also a JavaScript library.[39m
[48;5;235m[38;5;249m-   **Network Analysis with Cytoscape Tutorial** (https://archaeologicalnetworks.wordpress.com/resources/#cytoscape) - Illustrated through an archaeological and geographical case study (2013).[49m[39m
[38;5;12m-   [39m[38;5;14m[1mDiscourse Network Analyzer (DNA)[0m[38;5;12m (http://www.philipleifeld.com/discourse-network-analyzer/discourse-network-analyzer-dna.html) - Qualitative content analysis tool with network export facilities, written in Java with R integration.[39m
[38;5;12m-   [39m[38;5;14m[1mE-Net[0m[38;5;12m (https://sites.google.com/site/enetsoftware1/) - Windows program for ego network analysis.[39m
[38;5;12m-   [39m[38;5;14m[1mEgoNet[0m[38;5;12m (https://sourceforge.net/projects/egonet/) - Cross-platform Java program for ego network analysis.[39m
[38;5;12m-   [39m[38;5;14m[1mEgoWeb[0m[38;5;12m (https://www.qualintitative.com/egoweb/) - Server-side software for social network data collection and processing.[39m
[38;5;12m-   [39m[38;5;14m[1measyN[0m[38;5;12m (http://www.esyn.org/) - Online tool aimed at representing and sharing gene interaction networks as well as Petri net models.[39m
[38;5;12m-   [39m[38;5;14m[1mGephi[0m[38;5;12m (https://gephi.org/) - Cross-platform, free and open source tool for network visualization.[39m
[48;5;235m[38;5;249m-   **Clément Levallois’ Gephi Tutorials** (https://seinecle.github.io/gephi-tutorials/).[49m[39m[48;5;235m[38;5;249m                                        [49m[39m
[48;5;235m[38;5;249m-   **Geographische Netzwerkvisualisierung mit dem Programm ‘Gephi’** (http://www.podcampus.de/nodes/RJVZo), in German (2016).[49m[39m[48;5;235m[38;5;249m   [49m[39m
[48;5;235m[38;5;249m-   **Introduction to Network Analysis and Visualization with Gephi** (http://www.martingrandjean.ch/gephi-introduction/) (2015).[49m[39m
[48;5;235m[38;5;249m-   **Practical Social Network Analysis With Gephi** (http://derekgreene.com/gephitutorial/) (2014).[49m[39m[48;5;235m[38;5;249m                             [49m[39m
[38;5;12m-   [39m[38;5;14m[1mGLEAMviz Simulator[0m[38;5;12m (http://www.gleamviz.org/) - Cross-platform tool intended for the prediction of human epidemics.[39m
[38;5;12m-   [39m[38;5;14m[1mGraph Commons[0m[38;5;12m (https://graphcommons.com/) - Collaborative platform for mapping, analyzing and publishing data-networks.[39m
[38;5;12m-   [39m[38;5;14m[1mGraphia[0m[38;5;12m (https://graphia.app/) - Cross-platform tool to visualize large and complex networks ([39m[38;5;14m[1mannouncement[0m[38;5;12m (https://www.cnn.group.cam.ac.uk/news/Graphia-April19)).[39m
[38;5;12m-   [39m[38;5;14m[1mGraphviz[0m[38;5;12m (http://www.graphviz.org/) - Cross-platform software to draw graphs in the DOT graph drawing language.[39m
[38;5;12m-   [39m[38;5;14m[1mGraphy[0m[38;5;12m (https://github.com/bruce/graphy) - Graph theory library written in Ruby.[39m
[38;5;12m-   [39m[38;5;14m[1mGraphX[0m[38;5;12m (https://spark.apache.org/graphx/) - [39m[38;5;14m[1mApache Spark[0m[38;5;12m (https://spark.apache.org/) module to perform graph-related parallel computation.[39m
[38;5;12m-   [39m[38;5;14m[1mLinkage[0m[38;5;12m (https://linkage.fr/) - Online tool to visualize and model networks with textual edges.[39m
[38;5;12m-   [39m[38;5;14m[1mLynks[0m[38;5;12m (https://lynksoft.com/) - Web-based tool for simple network analysis and visualization.[39m
[38;5;12m-   [39m[38;5;14m[1mMathematica[0m[38;5;12m (https://www.wolfram.com/mathematica/) - Cross-platform program with graph theory and network analysis functionalities.[39m
[48;5;235m[38;5;249m-   **IGraph/M** (https://github.com/szhorvat/IGraphM) - Interface to use the `igraph` library from within Mathematica, using standard Mathematica `Graph` objects.[49m[39m
[38;5;12m-   [39m[38;5;14m[1mMetamaps[0m[38;5;12m (https://metamaps.cc/) - Free, open-source platform to draw networks, currently in beta.[39m
[38;5;12m-   [39m[38;5;14m[1mMuxViz[0m[38;5;12m (http://muxviz.net/) - Cross-platform, free and open source tool to study multilayer networks, based on R and GNU Octave.[39m
[38;5;12m-   [39m[38;5;14m[1mNeo4j[0m[38;5;12m (http://neo4j.com/) - Open source, scalable graph database, used by companies like [39m[38;5;14m[1mLinkurious[0m[38;5;12m (http://linkurio.us/).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mCanvas[0m[38;5;12m [39m[38;5;12m(http://networkcanvas.com/)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mA[39m[38;5;12m [39m[38;5;12mfree[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mopen-source[39m[38;5;12m [39m[38;5;12mset[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12msurvey[39m[38;5;12m [39m[38;5;12mtools[39m[38;5;12m [39m[38;5;12mfor[39m[38;5;12m [39m[38;5;12mego-centric[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mpersonal[39m[38;5;12m [39m[38;5;12mnetwork[39m[38;5;12m [39m[38;5;12mstudies,[39m[38;5;12m [39m[38;5;12mincluding[39m[38;5;12m [39m[38;5;14m[1mdocumentation[0m[38;5;12m [39m[38;5;12m(https://documentation.networkcanvas.com)[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12ma[39m[38;5;12m [39m[38;5;14m[1muser[0m[38;5;14m[1m [0m[38;5;14m[1mcommunity[0m[38;5;12m [39m
[38;5;12m(https://community.networkcanvas.com).[39m[38;5;12m [39m
[38;5;12m-   [39m[38;5;14m[1mNode Overlap and Segregation Software[0m[38;5;12m (http://nos.alwaysdata.net/) - Web-based tool to compute [39m[38;5;14m[1mStrona and Veech[0m[38;5;12m (https://doi.org/10.1111/2041-210X.12395)’s node overlap and segregation measures.[39m
[38;5;12m-   [39m[38;5;14m[1mNodegoat[0m[38;5;12m (http://nodegoat.net/) - Web-based data management, network analysis and visualisation environment ([39m[38;5;14m[1mblog[0m[38;5;12m (http://nodegoat.net/blog)).[39m
[38;5;12m-   [39m[38;5;14m[1mNodeXL[0m[38;5;12m (http://nodexl.codeplex.com/) - Free, open-source template to explore network graphs with Microsoft Excel.[39m
[48;5;235m[38;5;249m-   **The NodeXL Series** (https://blogs.k-state.edu/it-news/tag/nodexl/) - Series of blog posts on using NodeXL (2013).[49m[39m
[38;5;12m-   [39m[38;5;14m[1mORA-LITE[0m[38;5;12m (http://www.casos.cs.cmu.edu/projects/ora/) - Windows program for dynamic meta-network assessment and analysis.[39m
[38;5;12m-   [39m[38;5;14m[1mOSoMe[0m[38;5;12m (http://osome.iuni.iu.edu/) - Web-based platform to analyze social media data, including through Twitter-based and co-occurrence networks.[39m
[38;5;12m-   [39m[38;5;14m[1mPajek[0m[38;5;12m (http://mrvar.fdv.uni-lj.si/pajek/) - Windows program for large network analysis, free for noncommercial use.[39m
[48;5;235m[38;5;249m-   **Analyse des réseaux : une introduction à Pajek** (https://quanti.hypotheses.org/512/), in French (2011).[49m[39m
[48;5;235m[38;5;249m-   **La détection de communautés avec Pajek 3.6** (https://groupefmr.hypotheses.org/544), in French (2012).[49m[39m[48;5;235m[38;5;249m  [49m[39m
[38;5;12m-   [39m[38;5;14m[1mPalladio[0m[38;5;12m (http://hdlab.stanford.edu/palladio/) - Web-based spatial network visualization tool by the [39m[38;5;14m[1mHumanities + Design research lab[0m[38;5;12m (http://hdlab.stanford.edu/) at Stanford University.[39m
[38;5;12m-   [39m[38;5;14m[1mPARTNER - Program to Analyze, Record, and Track Networks to Enhance Relationships[0m[38;5;12m (https://visiblenetworklabs.com/partner-cprm/) - Excel-based tool for building networks from surveys.[39m
[38;5;12m-   [39m[38;5;14m[1mPIGALE - Public Implementation of a Graph Algorithm Library and Editor[0m[38;5;12m (https://pigale.sourceforge.net/) - Windows program and C++ library to analyze planar graphs.[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mPNet[0m[38;5;12m [39m[38;5;12m(http://www.swinburne.edu.au/fbl/research/transformative-innovation/our-research/MelNet-social-network-group/PNet-software/index.html)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mSimulation[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mestimation[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12m(one-mode[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mmultilevel)[39m[38;5;12m [39m[38;5;12mexponential[39m[38;5;12m [39m[38;5;12mrandom[39m[38;5;12m [39m[38;5;12mgraph[39m[38;5;12m [39m[38;5;12mmodels[39m[38;5;12m [39m
[38;5;12m(ERGMs),[39m[38;5;12m [39m[38;5;12mwritten[39m[38;5;12m [39m[38;5;12min[39m[38;5;12m [39m[38;5;12mJava[39m[38;5;12m [39m[38;5;12mfor[39m[38;5;12m [39m[38;5;12mWindows.[39m
[38;5;12m-   [39m[38;5;14m[1mPolinode[0m[38;5;12m (https://www.polinode.com/) - Web-based platform to both analyze network data as well as collect network data via relationship-based surveys.[39m
[38;5;12m-   [39m[38;5;14m[1mPUCK - Program for the Use and Computation of Kinship data[0m[38;5;12m (http://www.kintip.net/) - Cross-platform Java program for genealogical network analysis.[39m
[38;5;12m-   [39m[38;5;14m[1mqgis-edge-bundling[0m[38;5;12m (https://github.com/ait-energy/qgis-edge-bundling) - Implementation of force-directed edge bundling for the QGIS Processing toolbox.[39m
[38;5;12m-   [39m[38;5;14m[1mRadatools[0m[38;5;12m (https://deim.urv.cat/~sergio.gomez/radatools.php) - Set of tools intended for the analysis of complex networks, built on top of [39m[38;5;14m[1mRadalib[0m[38;5;12m (http://deim.urv.cat/~sergio.gomez/radalib.php), a library written in Ada.[39m
[38;5;12m-   [39m[38;5;14m[1mRetina[0m[38;5;12m (https://ouestware.gitlab.io/retina) - Web application to share GEXF and GraphML network visualizations.[39m
[38;5;12m-   [39m[38;5;14m[1mSageMath[0m[38;5;12m (https://www.sagemath.org/) - Free open-source mathematics software with extensive [39m[38;5;14m[1mgraph capabilities[0m[38;5;12m (http://doc.sagemath.org/html/en/reference/graphs/index.html).[39m
[38;5;12m-   [39m[38;5;14m[1mSegrada[0m[38;5;12m (https://www.segrada.org/) - Cross-platform tool to build and visualize semantic graph databases.[39m
[38;5;12m-   [39m[38;5;14m[1mSiena[0m[38;5;12m (https://www.stats.ox.ac.uk/~snijders/siena/) - Simulation Investigation for Empirical Network Analysis. Formerly a Windows program, now developed as the RSiena R package.[39m
[38;5;12m-   [39m[38;5;14m[1mSocNetV - Social Network Visualizer[0m[38;5;12m (https://socnetv.org/) - Cross-platform program that includes a [39m[38;5;14m[1msimple Web crawler[0m[38;5;12m (https://socnetv.org/news/?post=socnetv-v16-released-with-a-working-web-crawler) to construct hyperlink networks.[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mSoNIA[0m[38;5;14m[1m [0m[38;5;14m[1m-[0m[38;5;14m[1m [0m[38;5;14m[1mSocial[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mImage[0m[38;5;14m[1m [0m[38;5;14m[1mAnimator[0m[38;5;12m [39m[38;5;12m(http://web.stanford.edu/group/sonia/)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mTool[39m[38;5;12m [39m[38;5;12mto[39m[38;5;12m [39m[38;5;12mvisualize[39m[38;5;12m [39m[38;5;12mdynamic[39m[38;5;12m [39m[38;5;12mor[39m[38;5;12m [39m[38;5;12mlongitudinal[39m[38;5;12m [39m[38;5;12mnetwork[39m[38;5;12m [39m[38;5;12mdata.[39m[38;5;12m [39m[38;5;12mFormerly[39m[38;5;12m [39m[38;5;12ma[39m[38;5;12m [39m[38;5;14m[1mJava[0m[38;5;14m[1m [0m[38;5;14m[1mprogram[0m[38;5;12m [39m[38;5;12m(https://sourceforge.net/projects/sonia/)[39m[38;5;12m [39m[38;5;12m([39m[38;5;14m[1mexample[0m[38;5;14m[1m [0m[38;5;14m[1mmovies[0m[38;5;12m [39m
[38;5;12m(http://www.soc.duke.edu/~jmoody77/NetMovies/index.htm)),[39m[38;5;12m [39m[38;5;12mnow[39m[38;5;12m [39m[38;5;12mdeveloped[39m[38;5;12m [39m[38;5;12mas[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;12mndtv[39m[38;5;12m [39m[38;5;12mR[39m[38;5;12m [39m[38;5;12mpackage.[39m
[38;5;12m-   [39m[38;5;14m[1mSparklingGraph[0m[38;5;12m (https://sparkling-graph.github.io/) - Cross-platform tool to perform large-scale, distributed network computations with Apache Spark’s GraphX module; written in Java and Scala.[39m
[38;5;12m-   [39m[38;5;14m[1mSPaTo Visual Explorer[0m[38;5;12m (http://www.spato.net/) - Cross-platform program for the visualization and exploration of complex networks.[39m
[38;5;12m-   [39m[38;5;14m[1mStOCNET[0m[38;5;12m (http://www.gmw.rug.nl/~stocnet/StOCNET.htm) - Several Windows programs developed by the same team as Siena.[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mTulip[0m[38;5;12m [39m[38;5;12m(http://tulip.labri.fr/)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mCross-platform[39m[38;5;12m [39m[38;5;12mnetwork[39m[38;5;12m [39m[38;5;12manalysis[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mvisualization[39m[38;5;12m [39m[38;5;12mframework[39m[38;5;12m [39m[38;5;12mbuilt[39m[38;5;12m [39m[38;5;12mon[39m[38;5;12m [39m[38;5;12mtop[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12ma[39m[38;5;12m [39m[38;5;12mC++[39m[38;5;12m [39m[38;5;12mlibrary,[39m[38;5;12m [39m[38;5;12mwith[39m[38;5;12m [39m[38;5;12mplugins[39m[38;5;12m [39m[38;5;12mdedicated[39m[38;5;12m [39m[38;5;12mto[39m[38;5;12m [39m[38;5;12mspecific[39m[38;5;12m [39m[38;5;12mbiological[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mphysical[39m[38;5;12m [39m[38;5;12mnetworks.[39m[38;5;12m [39m[38;5;12mAlso[39m[38;5;12m [39m[38;5;12mavailable[39m[38;5;12m [39m[38;5;12mthrough[39m[38;5;12m [39m[38;5;12mits[39m[38;5;12m [39m[38;5;14m[1mPython[0m[38;5;14m[1m [0m
[38;5;14m[1mpackage[0m[38;5;12m [39m[38;5;12m(http://tulip.labri.fr/Documentation/current/tulip-python/html/index.html).[39m
[38;5;12m-   [39m[38;5;14m[1mUCINET[0m[38;5;12m (https://sites.google.com/site/ucinetsoftware/) - Windows commercial software package for the analysis of social network data.[39m
[38;5;12m-   [39m[38;5;14m[1mUberlink[0m[38;5;12m (http://www.uberlink.com/) - Software suite for online (hyperlink) network analysis, by the [39m[38;5;14m[1mVOSON[0m[38;5;12m (http://vosonlab.net/) research project.[39m
[48;5;235m[38;5;249m-   **VOSON System** (http://www.uberlink.com/software#voson) - Web-based software for the collection and analysis of online network data.[49m[39m[48;5;235m[38;5;249m                                                                                                                  [49m[39m
[48;5;235m[38;5;249m-   **VOSON Data Provider for NodeXL** (http://www.uberlink.com/software#voson-nodexl) (**quick tutorial** (https://blogs.k-state.edu/it-news/2013/04/09/the-nodexl-series-using-voson-for-hyperlink-network-analysis-part-9/); to be discon[49m[39m[48;5;235m[38;5;249m                [49m[39m
[48;5;235m[38;5;249mtinued in 2016).[49m[39m[48;5;235m[38;5;249m                                                                                                                                                                                                                                            [49m[39m
[48;5;235m[38;5;249m-   **vosonR** (http://vosonlab.net/tools) - R client for the VOSON software (in development).[49m[39m[48;5;235m[38;5;249m                                                                                                                                                              [49m[39m
[38;5;12m-   [39m[38;5;14m[1mUNISoN[0m[38;5;12m (http://unison.sleonard.co.uk/) - Cross-platform program to download and visualize Usenet data. [39m[38;5;14m[1mDeveloped for a Masters degree[0m[38;5;12m (https://github.com/leonarduk/unison/wiki/MSc-Report-Abstract).[39m
[38;5;12m-   [39m[38;5;14m[1mVennMaker: An Actor-Centered Interactive Network Mapping Tool[0m[38;5;12m (http://www.vennmaker.com/?lang=en) - Cross-platform Java program for ego network analysis.[39m
[48;5;235m[38;5;249m-   **VennMaker for Historians: Sources, Social Networks and Software** (http://revistes.uab.cat/redes/article/view/v21-during-bixier-kronenwett-stark) (also available in Spanish; 2011).[49m[39m
[38;5;12m-   [39m[38;5;14m[1mVisone[0m[38;5;12m (https://visone.ethz.ch/) - Cross-platform Java network analysis and visualization program, free for noncommercial use.[39m
[48;5;235m[38;5;249m-   **Visone Tutorials** (https://visone.ethz.ch/wiki/index.php/Tutorials) - Including one using an archaeological case study (2017).[49m[39m
[38;5;12m-   [39m[38;5;14m[1mVizster[0m[38;5;12m (http://vis.stanford.edu/jheer/projects/vizster/) - Cross-platform Java program to visualize online social networks.[39m
[38;5;12m-   [39m[38;5;14m[1mVOSviewer[0m[38;5;12m (https://www.vosviewer.com/) - Cross-platform Java tool for constructing and visualizing bibliometric networks.[39m

[38;2;255;187;0m[4mAlgorithms[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mNetwork placement and community detection algorithms that do not fit in any of the next subsections.  [39m
[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mSee also the [39m[38;5;14m[1mAwesome Algorithms[0m[38;5;12m (https://github.com/tayllan/awesome-algorithms) and [39m[38;5;14m[1mAwesome Algorithm Visualization[0m[38;5;12m (https://github.com/enjalot/algovis) lists for more algorithmic awesomess.[39m

[38;5;12m-   [39m[38;5;14m[1malgo.graph[0m[38;5;12m (https://github.com/clojure/algo.graph) - Basic graph theory algorithms written in Clojure.[39m
[38;5;12m-   [39m[38;5;14m[1mCONGA and CONGO[0m[38;5;12m (https://gregory.org/research/networks/software/conga.html) - Algorithms to detect overlapping communities in networks, written in Java.[39m
[38;5;12m-   [39m[38;5;14m[1mForceAtlas2[0m[38;5;12m (https://gephi.wordpress.com/2011/06/06/forceatlas2-the-new-version-of-our-home-brew-layout/) - Force-directed layout included in Gephi ([39m[38;5;14m[1mpaper[0m[38;5;12m (http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0098679)).[39m
[38;5;12m-   [39m[38;5;14m[1mLinkcomm - Link Communities in Complex Networks[0m[38;5;12m (https://github.com/bagrow/linkcomm) - Community detection algorithms, available in C++, Python [39m[38;5;14m[1mand R[0m[38;5;12m (https://CRAN.R-project.org/package=linkcomm).[39m
[38;5;12m-   [39m[38;5;14m[1mMixNet - Erdös-Rényi Mixture Model for Networks[0m[38;5;12m (https://ssbgroup.fr/mixnet.html) - Community detection method, available in C++ and R.[39m
[38;5;12m-   [39m[38;5;14m[1mOSLOM2 - Order Statistics Local Optimization Method[0m[38;5;12m (http://www.oslom.org/) - Clustering algorithm.[39m
[38;5;12m-   [39m[38;5;14m[1mvbmod: Variational Bayesian Inference for Network Modularity[0m[38;5;12m (https://vbmod.sourceforge.net/) - MATLAB and Python implementations of a [39m[38;5;14m[1mBayesian community detection algorithm[0m[38;5;12m (https://arxiv.org/abs/0709.3512).[39m
[38;5;12m-   [39m[38;5;14m[1mweighted-modularity-LPAwbPLUS[0m[38;5;12m (https://github.com/sjbeckett/weighted-modularity-LPAwbPLUS) - Julia, MATLAB and R implementations of two algorithms to find weighted modularity in bipartite networks.[39m

[38;2;255;187;0m[4mC / C++[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mFor more awesome C / C++ content, see the [39m[38;5;14m[1mAwesome C[0m[38;5;12m (https://github.com/aleksandar-todorovic/awesome-c) and [39m[38;5;14m[1mAwesome C / C++[0m[38;5;12m (https://github.com/fffaraz/awesome-cpp) lists.[39m

[38;5;12m-   [39m[38;5;14m[1mBenchmark Graphs to Test Community Detection Algorithms[0m[38;5;12m (https://sites.google.com/site/santofortunato/inthepress2) - C++ code to generate weighted and unweighted graphs.[39m
[38;5;12m-   [39m[38;5;14m[1mBGL - Boost Graph Library[0m[38;5;12m (https://www.boost.org/doc/libs/1_60_0/libs/graph/doc/) - C++ library that provides a generic interface to access graph structures.[39m
[38;5;12m-   [39m[38;5;14m[1migraph[0m[38;5;12m (https://igraph.org/) - C library of network analysis tools; also exists as packages for Python and R.[39m
[38;5;12m-   [39m[38;5;14m[1mMapEquation[0m[38;5;12m (https://www.mapequation.org/) - C++ code for the Infomap method of multilevel community detection.[39m
[38;5;12m-   [39m[38;5;14m[1mLouvain Method[0m[38;5;12m (https://sites.google.com/site/findcommunities/) - C++ code for the [39m[38;5;14m[1mLouvain multi-level community detection algorithm[0m[38;5;12m (https://arxiv.org/abs/0803.0476).[39m
[38;5;12m-   [39m[38;5;14m[1mnetworks.tb[0m[38;5;12m (https://networks-tb.sourceforge.net/) - C program designed for analyzing socio-semantic networks. Runs on Linux and Mac OS X.[39m
[38;5;12m-   [39m[38;5;14m[1mOGDF - Open Graph Drawing Framework[0m[38;5;12m (https://ogdf.uos.de/) - Self-contained C++ class library for diagram, network and tree layouts.[39m
[38;5;12m-   [39m[38;5;14m[1mOpenOrd: Large-scale Graph Layout (formerly DrL)[0m[38;5;12m (http://www.cs.sandia.gov/~smartin/software.html) - C++ algorithm, also available as a [39m[38;5;14m[1mGephi plugin[0m[38;5;12m (https://gephi.org/plugins/#/plugin/openord-layout).[39m
[38;5;12m-   [39m[38;5;14m[1mStanford Network Analysis Project[0m[38;5;12m (http://snap.stanford.edu/) - C++ general purpose network analysis and graph mining library. Available as a Python library and in Microsoft Excel via NodeXL.[39m
[38;5;12m-   [39m[38;5;14m[1mWalktrap[0m[38;5;12m (https://www-complexnetworks.lip6.fr/~latapy/PP/walktrap.html) - C++ program that implements the [39m[38;5;14m[1mWalkTrap community detection algorithm[0m[38;5;12m (https://arxiv.org/abs/physics/0512106).[39m

[38;2;255;187;0m[4mJava[0m

[38;5;12m- [39m[38;5;14m[1mGraphStore[0m[38;5;12m (https://github.com/gephi/graphstore) - In-memory graph structure implementation, powering Gephi.[39m
[38;5;12m- [39m[38;5;14m[1mGraphStream[0m[38;5;12m (https://graphstream-project.org/) - Java library for the modeling and analysis of dynamic graphs.[39m
[38;5;12m- [39m[38;5;14m[1mMixer[0m[38;5;12m (https://github.com/keith-turner/mixer) - Prototype showing how to use [39m[38;5;14m[1mApache Fluo[0m[38;5;12m (https://fluo.apache.org/) to continuously merge multiple large graphs into a single derived one.[39m

[38;2;255;187;0m[4mJavaScript[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mFor more awesome JavaScript libraries, see the [39m[38;5;14m[1mAwesome JavaScript[0m[38;5;12m (https://github.com/sorrycc/awesome-javascript) list.[39m

[38;5;12m-   [39m[38;5;14m[1mCytoscape.js[0m[38;5;12m (https://js.cytoscape.org/) - Network analysis and visualization library.[39m
[38;5;12m-   [39m[38;5;14m[1md3.js[0m[38;5;12m (https://d3js.org/) - JavaScript visualization library that can plot [39m[38;5;14m[1mforce-directed graphs[0m[38;5;12m (http://bl.ocks.org/mbostock/4062045).[39m
[48;5;235m[38;5;249m-   **d3-force: Force-directed graph layout** (https://github.com/d3/d3-force) using velocity Verlet integration.[49m[39m[48;5;235m[38;5;249m                                                  [49m[39m
[48;5;235m[38;5;249m-   **d3-vector: Define connections between nodes as directional vectors** (https://github.com/thepeoplesbourgeois/d3-vector), consisting of angles and magnitudes.[49m[39m
[38;5;12m-   [39m[38;5;14m[1mGENSI[0m[38;5;12m (http://www.tobiasstark.nl/GENSI/GENSI.htm) - JavaScript graphical tool to collect ego-centered network data ([39m[38;5;14m[1mpaper[0m[38;5;12m (https://doi.org/10.1016/j.socnet.2016.07.007)).[39m
[38;5;12m-   [39m[38;5;14m[1mGephi Lite[0m[38;5;12m (https://github.com/gephi/gephi-lite) - Web-based, lighter version of Gephi.[39m
[38;5;12m-   [39m[38;5;14m[1mGoJS[0m[38;5;12m (https://gojs.net/) - Visualization library to draw diagrams and several types of network layouts.[39m
[38;5;12m-   [39m[38;5;14m[1mGraphology[0m[38;5;12m (https://graphology.github.io/) - Specification and reference implementation for a robust and multipurpose JavaScript [39m[48;5;235m[38;5;249mGraph[49m[39m[38;5;12m object.[39m
[38;5;12m-   [39m[38;5;14m[1mgreuler[0m[38;5;12m (https://mauriciopoppe.github.io/greuler/) - Visualization library to build and manipulate graphs through a simple API. Powered by d3.js and [39m[38;5;14m[1mWebCola[0m[38;5;12m (https://ialab.it.monash.edu/webcola/).[39m
[38;5;12m-   [39m[38;5;14m[1mjLouvain[0m[38;5;12m (https://github.com/upphiminn/jLouvain) - Louvain community detection for Javascript ([39m[38;5;14m[1mexample[0m[38;5;12m (http://bl.ocks.org/emeeks/125db75c9b55ddcbdeb5)).[39m
[38;5;12m-   [39m[38;5;14m[1mNetworkCube[0m[38;5;12m (https://github.com/networkcube/networkcube) - "Dynamic Network Visualizations [39m[38;5;14m[1mfor[0m[38;5;12m  Domain Scientists." For demo examples, see [39m[38;5;14m[1mThe Vistorian[0m[38;5;12m (https://networkcube.github.io/vistorian/).[39m
[38;5;12m-   [39m[38;5;14m[1mOligrapher[0m[38;5;12m (https://github.com/public-accountability/oligrapher) - Library initially developed to visualise [39m[38;5;14m[1m"networks of influence" among U.S. elites[0m[38;5;12m (https://littlesis.org/).[39m
[38;5;12m-   [39m[38;5;14m[1mPopoto.js[0m[38;5;12m (https://github.com/Nhogs/popoto) - Library based on d3.js that provides a graph based search interface.[39m
[38;5;12m-   [39m[38;5;14m[1mSigma[0m[38;5;12m (https://www.sigmajs.org/) - JavaScript library dedicated to graph drawing.[39m
[38;5;12m-   [39m[38;5;14m[1mvis.js[0m[38;5;12m (https://visjs.org/) - JavaScript library with network visualization capabilities.[39m
[38;5;12m-   [39m[38;5;14m[1mVivaGraphJS[0m[38;5;12m (https://github.com/anvaka/VivaGraphJS) - Graph drawing library ([39m[38;5;14m[1mForceAtlas2 plugin[0m[38;5;12m (https://github.com/graphcommons/viva.forceatlas2)).[39m
[38;5;12m-   [39m[38;5;14m[1mviz.js[0m[38;5;12m (https://mdaines.github.io/viz.js/) - Use Graphviz in Web pages.[39m

[38;2;255;187;0m[4mJulia[0m

[38;5;12m-   [39m[38;5;14m[1mBayesNets.jl[0m[38;5;12m (https://github.com/sisl/BayesNets.jl) - Package to work with Bayesian networks.[39m
[48;5;235m[38;5;249m-   **Smile.jl** (https://github.com/sisl/Smile.jl) - Julia wrapper for the **Smile C++ library** (http://www.bayesfusion.com/smile-engine), which covers Bayesian networks and influence diagrams.[49m[39m
[38;5;12m-   [39m[38;5;14m[1mEcologicalNetwork.jl[0m[38;5;12m (https://github.com/PoisotLab/EcologicalNetwork.jl) - Package to compute measures of ecological network structures.[39m
[38;5;12m-   [39m[38;5;14m[1mEvolvingGraphs[0m[38;5;12m (https://github.com/weijianzhang/EvolvingGraphs.jl) - Package to create, manipulate and study time-dependent networks.[39m
[48;5;235m[38;5;249m-   **Dynamic Network Analysis in Julia** (http://eprints.ma.man.ac.uk/2376/01/julia_eg_report.pdf).[49m[39m
[38;5;12m-   [39m[38;5;14m[1mGraphs.jl[0m[38;5;12m (https://github.com/JuliaLang/Graphs.jl) - Package to manipulate graph objects in Julia.[39m
[48;5;235m[38;5;249m-   **Creating Network Diagrams in Plotly from Julia** (http://badhessian.org/2014/05/creating-network-diagrams-in-plotly-from-julia/).[49m[39m[48;5;235m[38;5;249m      [49m[39m
[48;5;235m[38;5;249m-   **MetaGraphs** (https://github.com/JuliaGraphs/MetaGraphs.jl) - Graph data structures with multiple heterogeneous metadata for Graphs.jl.[49m[39m
[38;5;12m-   [39m[38;5;14m[1mJuliaGraphs[0m[38;5;12m (https://github.com/JuliaGraphs) - Suite of Julia packages for network analysis.[39m
[48;5;235m[38;5;249m-   **GraphVisualize.jl** (https://github.com/JuliaGraphs/GraphVisualize.jl) - Graph visualization built on top of **GLVisualize.jl** (https://github.com/JuliaGL/GLVisualize.jl).[49m[39m
[48;5;235m[38;5;249m-   **LightGraphs.jl** (https://github.com/JuliaGraphs/LightGraphs.jl) - Graph library with a focus on performance and simplicity.[49m[39m[48;5;235m[38;5;249m                                                [49m[39m
[48;5;235m[38;5;249m-   **LightGraphsExtras.jl** (https://github.com/JuliaGraphs/LightGraphsExtras.jl) - Community detection and other functionalities for the LightGraphs.jl package.[49m[39m[48;5;235m[38;5;249m                [49m[39m
[48;5;235m[38;5;249m-   **NetworkLayout.jl** (https://github.com/JuliaGraphs/NetworkLayout.jl) - Layout algorithms for graphs and trees.[49m[39m[48;5;235m[38;5;249m                                                              [49m[39m
[48;5;235m[38;5;249m-   **Networks.jl** (https://github.com/JuliaGraphs/Networks.jl) - Additional graph functions for the LightGraphs.jl package.[49m[39m[48;5;235m[38;5;249m                                                     [49m[39m
[48;5;235m[38;5;249m-   **GraphCentrality.jl** (https://github.com/JuliaGraphs/GraphCentrality.jl) - Adds network measures to the Graphs.jl package.[49m[39m[48;5;235m[38;5;249m                                                  [49m[39m
[38;5;12m-   [39m[38;5;14m[1mMatrixNetworks.jl[0m[38;5;12m (https://github.com/nassarhuda/MatrixNetworks.jl) - A method to handle graph/matrix/network structures.[39m
[38;5;12m-   [39m[38;5;14m[1mNetworkFlows.jl[0m[38;5;12m (https://github.com/Azzaare/NetworkFlows.jl) - Package of network flows algorithms.[39m
[38;5;12m-   [39m[38;5;14m[1mNetworkViz.jl[0m[38;5;12m (https://github.com/abhijithanilkumar/NetworkViz.jl) - Package to visualize graphs produced with LightGraphs.jl, using [39m[38;5;14m[1mThreeJS.jl[0m[38;5;12m (https://github.com/rohitvarkey/ThreeJS.jl).[39m
[48;5;235m[38;5;249m-   **Video presentation of the package** (https://youtu.be/kY5te9NwXo8?list=PLP8iPy9hna6SQPwZUDtAM59-wPzCPyD_S) by its author at JuliaCon 2016.[49m[39m
[38;5;12m-   [39m[38;5;14m[1mPhyloNetworks.jl[0m[38;5;12m (https://github.com/crsl4/PhyloNetworks.jl) - Package to manipulate, analyze and visualize phylogenetic networks.[39m
[38;5;12m-   [39m[38;5;14m[1mTikzGraphs[0m[38;5;12m (https://github.com/sisl/TikzGraphs.jl) - Package to create graph layouts using the TikZ graphics language.[39m

[38;2;255;187;0m[4mMATLAB[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mSee also the webweb tool listed in the [39m[38;5;14m[1mPython[0m[38;5;12m (#python) section.[39m

[38;5;12m-   [39m[38;5;14m[1mBrain Connectivity Toolbox[0m[38;5;12m (https://sites.google.com/site/bctnet/) - Toolbox for complex-network analysis of structural and functional brain-connectivity data, with links to many related projects.[39m
[38;5;12m-   [39m[38;5;14m[1mComplex Networks Package for MatLab[0m[38;5;12m (http://www.levmuchnik.net/Content/Networks/ComplexNetworksPackage.html).[39m
[38;5;12m-   [39m[38;5;14m[1mCONTEST[0m[38;5;12m (http://www.maths.strath.ac.uk/research/groups/numerical_analysis/contest) - Random network toolbox that implements nine network models.[39m
[38;5;12m-   [39m[38;5;14m[1mGeneralized Louvain[0m[38;5;12m (http://netwiki.amath.unc.edu/GenLouvain/GenLouvain) - Variant of the Louvain community detection algorithm.[39m
[38;5;12m-   [39m[38;5;14m[1mMatlabBGL[0m[38;5;12m (https://dgleich.github.io/matlab-bgl/) - Graph library based on the C++ Boost Graph Library.[39m
[38;5;12m-   [39m[38;5;14m[1mMATLAB RBN Toolbox[0m[38;5;12m (http://www.teuscher.ch/rbntoolbox/index.htm) - Simulation und visualization of Random Boolean Networks.[39m

[38;2;255;187;0m[4mPython[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mMany items below are from [39m[38;5;14m[1ma Google spreadsheet[0m[38;5;12m (https://docs.google.com/spreadsheets/d/1vJILk2EW1JnR3YAwTSSqAV5mPkeXaezy45wOoafBpfU/edit#gid=0) by Michał Bojanowski and others.  [39m
[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mSee also [39m[38;5;14m[1mSocial Network Analysis with Python[0m[38;5;12m (https://www.youtube.com/watch?v=qgGqaBAEy3Q), a 3-hour tutorial by Maksim Tsvetovat and Alex Kouznetsov given at PyCon US 2012 ([39m[38;5;14m[1mcode[0m[38;5;12m (https://github.com/maksim2042/PyCon2012)).  [39m
[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mFor more awesome Python packages, see the [39m[38;5;14m[1mAwesome Python[0m[38;5;12m (https://github.com/vinta/awesome-python) and [39m[38;5;14m[1mAwesome Python Books[0m[38;5;12m (https://github.com/Junnplus/awesome-python-books) lists.[39m

[38;5;12m-   [39m[38;5;14m[1mbokeh[0m[38;5;12m (https://bokeh.org/) - Python library for interactive data visualization in the browser, with support for networks.[39m
[38;5;12m-   [39m[38;5;14m[1mcdlib[0m[38;5;12m (https://github.com/GiulioRossetti/cdlib) - Python community detection library, with 60+ methods and evaluation/visualization features.[39m
[38;5;12m-   [39m[38;5;14m[1mdash-cytoscape[0m[38;5;12m (https://github.com/plotly/dash-cytoscape) - Interactive network visualization library in Python, powered by Cytoscape.js and Dash[39m
[38;5;12m-   [39m[38;5;14m[1mgraph-tool[0m[38;5;12m (http://graph-tool.skewed.de/) - Python module for network manipulation and analysis, written mostly in C++ for speed.[39m
[38;5;12m-   [39m[38;5;14m[1mgraphviz[0m[38;5;12m (https://pypi.python.org/pypi/graphviz) - Python renderer for the DOT graph drawing language.[39m
[38;5;12m-   [39m[38;5;14m[1mgraspologic[0m[38;5;12m (https://github.com/microsoft/graspologic) - Python package for statistical algorithms, models, and visualization for single and multiple networks. [39m
[48;5;235m[38;5;249m-   **Tutorials on algorithms and models** (https://graspologic.readthedocs.io/en/latest/).[49m[39m
[38;5;12m-   [39m[38;5;14m[1mhiveplot[0m[38;5;12m (https://pypi.python.org/pypi/hiveplot) - Python utility for drawing networks as hive plots on matplotlib, a more comprehensive network visualization.[39m
[38;5;12m-   [39m[38;5;14m[1mkarateclub[0m[38;5;12m (https://github.com/benedekrozemberczki/karateclub) - Python package for unsupervised learning on graph structured data with a scikit-learn like API.[39m
[38;5;12m-   [39m[38;5;14m[1mlinkpred[0m[38;5;12m (https://github.com/rafguns/linkpred) - Assess the likelihood of potential links in a future snapshot of a network.[39m
[38;5;12m-   [39m[38;5;14m[1mlittleballoffur[0m[38;5;12m (https://github.com/benedekrozemberczki/littleballoffur) - Python package for sampling from graph structured data with a scikit-learn like API.[39m
[38;5;12m-   [39m[38;5;14m[1mmetaknowledge[0m[38;5;12m (http://networkslab.org/metaknowledge/) - Python package to turn bibliometrics data into authorship and citation networks.[39m
[38;5;12m-   [39m[38;5;14m[1mnetworkx[0m[38;5;12m (https://networkx.org/) - Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.[39m
[48;5;235m[38;5;249m-   **Implementing an ERGM from Scratch in Python** (https://gist.github.com/dmasad/8509304), using networkx and numpy (2014).[49m[39m
[48;5;235m[38;5;249m-   **nxviz** (https://github.com/ericmjl/nxviz/) - Visualization package for NetworkX.[49m[39m[48;5;235m[38;5;249m                                       [49m[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mnngt[0m[38;5;12m [39m[38;5;12m(https://nngt.readthedocs.io)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mLibrary-agnostic[39m[38;5;12m [39m[38;5;12mgraph[39m[38;5;12m [39m[38;5;12mgeneration[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12manalysis[39m[38;5;12m [39m[38;5;12mthat[39m[38;5;12m [39m[38;5;12mwraps[39m[38;5;12m [39m[38;5;12maround[39m[38;5;12m [39m[48;5;235m[38;5;249mnetworkx[49m[39m[38;5;12m,[39m[38;5;12m [39m[48;5;235m[38;5;249migraph[49m[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[48;5;235m[38;5;249mgraph-tool[49m[39m[38;5;12m).[39m[38;5;12m [39m[38;5;12mIncludes[39m[38;5;12m [39m[38;5;12mnormalized[39m[38;5;12m [39m[38;5;12mgraph[39m[38;5;12m [39m[38;5;12mmeasures,[39m[38;5;12m [39m[38;5;12madvanced[39m[38;5;12m [39m[38;5;12mvisualizations,[39m[38;5;12m [39m[38;5;12m(geo)spatial[39m[38;5;12m [39m[38;5;12mtools,[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12minterfaces[39m[38;5;12m [39m
[38;5;12mfor[39m[38;5;12m [39m[38;5;12mneuroscience[39m[38;5;12m [39m[38;5;12msimulators.[39m
[38;5;12m-   [39m[38;5;14m[1mnpartite[0m[38;5;12m (https://github.com/ike002jp/npartite) - Python algorithms for community detection in n-partite networks.[39m
[38;5;12m-   [39m[38;5;14m[1mPyGraphistry[0m[38;5;12m (https://github.com/graphistry/pygraphistry) - Python library to extract, transform, and visually explore big graphs.[39m
[38;5;12m-   [39m[38;5;14m[1mpython-igraph[0m[38;5;12m (http://igraph.org/python/) - Python version of the igraph network analysis package.[39m
[38;5;12m-   [39m[38;5;14m[1mpython-louvain[0m[38;5;12m (https://perso.crans.org/aynaud/communities/) - A solid implementation of Louvain community detection algorithm.[39m
[38;5;12m-   [39m[38;5;14m[1mRaphtory[0m[38;5;12m (https://www.raphtory.com/) - A platform for building and analysing temporal networks.[39m
[38;5;12m-   [39m[38;5;14m[1mscipy.sparse.csgraph[0m[38;5;12m (https://docs.scipy.org/doc/scipy/reference/sparse.csgraph.html#module-scipy.sparse.csgraph) - Fast graph algorithms based on sparse matrix representations.[39m
[38;5;12m-   [39m[38;5;14m[1mSnap.py[0m[38;5;12m (http://snap.stanford.edu/snappy/index.html) - A Python interface for SNAP (a general purpose, high performance system for analysis and manipulation of large networks).[39m
[38;5;12m-   [39m[38;5;14m[1mSnapVX[0m[38;5;12m (https://github.com/snap-stanford/snapvx) - A convex optimization solver for problems defined on a graph.[39m
[38;5;12m-   [39m[38;5;14m[1mtnetwork[0m[38;5;12m (https://github.com/Yquetzal/tnetwork) - Python library for temporal networks, and dynamic community detection in particular.[39m
[38;5;12m-   [39m[38;5;14m[1mTQ (Temporal Quantities)[0m[38;5;12m (http://vladowiki.fmf.uni-lj.si/doku.php?id=tq) - Python 3 library for temporal network analysis.[39m
[38;5;12m-   [39m[38;5;14m[1muunet[0m[38;5;12m (http://multilayer.it.uu.se/software.html) - Tools for multilayer social networks.[39m
[48;5;235m[38;5;249m- **Related book and data** (http://multilayer.it.uu.se/). See `multinet` for the R version.[49m[39m
[38;5;12m-   [39m[38;5;14m[1mwebweb[0m[38;5;12m (https://webwebpage.github.io/) - MATLAB/Python library to produce interactive network visualizations with d3.js.[39m

[38;2;255;187;0m[4mR[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mFor[39m[38;5;12m [39m[38;5;12mmore[39m[38;5;12m [39m[38;5;12mawesome[39m[38;5;12m [39m[38;5;12mR[39m[38;5;12m [39m[38;5;12mresources,[39m[38;5;12m [39m[38;5;12msee[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;14m[1mAwesome[0m[38;5;14m[1m [0m[38;5;14m[1mR[0m[38;5;12m [39m[38;5;12m(https://github.com/qinwf/awesome-R)[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;14m[1mAwesome[0m[38;5;14m[1m [0m[38;5;14m[1mR[0m[38;5;14m[1m [0m[38;5;14m[1mBooks[0m[38;5;12m [39m[38;5;12m(https://github.com/RomanTsegelskyi/rbooks)[39m[38;5;12m [39m[38;5;12mlists.[39m[38;5;12m [39m[38;5;12mSee[39m[38;5;12m [39m[38;5;12malso[39m[38;5;12m [39m[38;5;14m[1mthis[0m[38;5;14m[1m [0m[38;5;14m[1mGoogle[0m[38;5;14m[1m [0m[38;5;14m[1mspreadsheet[0m[38;5;12m [39m
[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12m(https://docs.google.com/spreadsheets/d/1CoFGtrW85D9FsVcAE5-bcXVl6QOTncwXjFBYp4u2WgE/edit?usp=sharing)[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mIan[39m[38;5;12m [39m[38;5;12mMcCulloh[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mothers.[39m[38;5;12m  [39m
[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mTo[39m[38;5;12m [39m[38;5;12mconvert[39m[38;5;12m [39m[38;5;12mmany[39m[38;5;12m [39m[38;5;12mdifferent[39m[38;5;12m [39m[38;5;12mnetwork[39m[38;5;12m [39m[38;5;12mmodel[39m[38;5;12m [39m[38;5;12mresults[39m[38;5;12m [39m[38;5;12minto[39m[38;5;12m [39m[38;5;12mtidy[39m[38;5;12m [39m[38;5;12mdata[39m[38;5;12m [39m[38;5;12mframes,[39m[38;5;12m [39m[38;5;12msee[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;14m[1mbroom[0m[38;5;12m [39m[38;5;12m(https://CRAN.R-project.org/package=broom)[39m[38;5;12m [39m[38;5;12mpackage.[39m[38;5;12m [39m[38;5;12mTo[39m[38;5;12m [39m[38;5;12mconvert[39m[38;5;12m [39m[38;5;12mmany[39m[38;5;12m [39m[38;5;12mdifferent[39m[38;5;12m [39m[38;5;12mnetwork[39m[38;5;12m [39m[38;5;12mmodel[39m[38;5;12m [39m[38;5;12mresults[39m[38;5;12m [39m[38;5;12minto[39m[38;5;12m [39m[38;5;12mLaTeX[39m[38;5;12m [39m[38;5;12mor[39m[38;5;12m [39m[38;5;12mHTML[39m[38;5;12m [39m[38;5;12mtables,[39m[38;5;12m [39m[38;5;12msee[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;14m[1mtexreg[0m[38;5;12m [39m
[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12m(https://CRAN.R-project.org/package=texreg)[39m[38;5;12m [39m[38;5;12mpackage.[39m

[38;5;12m-   [39m[38;5;14m[1mamen[0m[38;5;12m (https://CRAN.R-project.org/package=amen) - Additive and multiplicative effects models for relational data.[39m
[38;5;12m-   [39m[38;5;14m[1mbackbone[0m[38;5;12m (https://CRAN.R-project.org/package=backbone) - Provides methods for binarizing a weighted network retaining only significant edges.[39m
[48;5;235m[38;5;249m- **Introduction to the backbone package** (https://arxiv.org/abs/1912.12779)[49m[39m
[38;5;12m-   [39m[38;5;14m[1mBergm[0m[38;5;12m (https://CRAN.R-project.org/package=Bergm) - Tools to analyse Bayesian exponential random graph models (BERGM). Related Twitter: [39m[38;5;14m[1m@BayesianSNA[0m[38;5;12m (https://twitter.com/BayesianSNA).[39m
[38;5;12m-   [39m[38;5;14m[1mbipartite[0m[38;5;12m (https://CRAN.R-project.org/package=bipartite) - Functions to visualize bipartite (two-mode) networks and compute indices commonly used in ecological research. See also: [39m[48;5;235m[38;5;249mlevelnet[49m[39m[38;5;12m R package.[39m
[38;5;12m-   [39m[38;5;14m[1mblockmodeling[0m[38;5;12m (https://CRAN.R-project.org/package=blockmodeling) - Implementats generalized blockmodeling for valued networks.[39m
[38;5;12m-   [39m[38;5;14m[1mbnlearn[0m[38;5;12m (https://CRAN.R-project.org/package=bnlearn) - Tools for [39m[38;5;14m[1mBayesian network learning and inference[0m[38;5;12m (http://www.bnlearn.com/) ([39m[38;5;14m[1mrelated Shiny app[0m[38;5;12m (https://paulgovan.github.io/RiskNetwork)).[39m
[38;5;12m-   [39m[38;5;14m[1mbrainGraph[0m[38;5;12m (https://CRAN.R-project.org/package=brainGraph) - Tools for performing graph theory analysis of brain MRI data.[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mbtergm[0m[38;5;12m [39m[38;5;12m(https://CRAN.R-project.org/package=btergm)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mTools[39m[38;5;12m [39m[38;5;12mto[39m[38;5;12m [39m[38;5;12mfit[39m[38;5;12m [39m[38;5;12mtemporal[39m[38;5;12m [39m[38;5;12mERGMs[39m[38;5;12m [39m[38;5;12mby[39m[38;5;12m [39m[38;5;12mbootstrapped[39m[38;5;12m [39m[38;5;12mpseudolikelihood.[39m[38;5;12m [39m[38;5;12mAlso[39m[38;5;12m [39m[38;5;12mprovides[39m[38;5;12m [39m[38;5;12mMCMC[39m[38;5;12m [39m[38;5;12mmaximum[39m[38;5;12m [39m[38;5;12mlikelihood[39m[38;5;12m [39m[38;5;12mestimation,[39m[38;5;12m [39m[38;5;12mgoodness[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mfit[39m[38;5;12m [39m[38;5;12mfor[39m[38;5;12m [39m[38;5;12mERGMs,[39m[38;5;12m [39m[38;5;12mTERGMs,[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mstochastic[39m[38;5;12m [39m[38;5;12mactor-oriented[39m[38;5;12m [39m
[38;5;12mmodels[39m[38;5;12m [39m[38;5;12m(SAOMs),[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mtools[39m[38;5;12m [39m[38;5;12mfor[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;12mmicro-level[39m[38;5;12m [39m[38;5;12minterpretation[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mERGMs[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mTERGMs.[39m
[38;5;12m-   [39m[38;5;14m[1mCCAS[0m[38;5;12m (https://github.com/matthewjdenny/CCAS) - Statistical model for communication networks.[39m
[38;5;12m-   [39m[38;5;14m[1mconcoR[0m[38;5;12m (https://github.com/aslez/concoR) - Implementation of the CONCOR network blockmodeling algorithm ([39m[38;5;14m[1mblog post[0m[38;5;12m (http://badhessian.org/2015/05/concor-in-r/)).[39m
[38;5;12m-   [39m[38;5;14m[1mContentStructure[0m[38;5;12m (https://github.com/matthewjdenny/ContentStructure) - Implements an extension to the [39m[38;5;14m[1mTopic-Partitioned Multinetwork Embeddings (TPME) model[0m[38;5;12m (http://dirichlet.net/pdf/krafft12topic-partitioned.pdf).[39m
[38;5;12m-   [39m[38;5;14m[1mDiagrammeR[0m[38;5;12m (https://github.com/rich-iannone/DiagrammeR) - Connects R, RStudio and JavaScript libraries to draw graph diagrams ([39m[38;5;14m[1mblog post[0m[38;5;12m (https://blog.rstudio.org/2015/05/01/rstudio-v0-99-preview-graphviz-and-diagrammer/)).[39m
[38;5;12m-   [39m[38;5;14m[1mdodgr[0m[38;5;12m (https://CRAN.R-project.org/package=dodgr) - Computes distances on dual-weighted directed graphs, such as street networks, using priority-queue shortest paths.[39m
[38;5;12m-   [39m[38;5;14m[1medgebundle[0m[38;5;12m (https://github.com/schochastics/edgebundle) - Edge bundling algorithms, useful to e.g. draw networks of transport maps.[39m
[38;5;12m-   [39m[38;5;14m[1megor[0m[38;5;12m (https://CRAN.R-project.org/package=egor) - Tools for importing, analyzing and visualizing ego-centered network data, in various formats.[39m
[38;5;12m-   [39m[38;5;14m[1mEpiModel[0m[38;5;12m (https://CRAN.R-project.org/package=EpiModel) - Tools for simulating mathematical models of infectious disease dynamics ([39m[38;5;14m[1mpresentation paper[0m[38;5;12m (https://doi.org/10.18637%2Fjss.v084.i08)).[39m
[38;5;12m-   [39m[38;5;14m[1mergm[0m[38;5;12m (https://CRAN.R-project.org/package=ergm) - Estimation of Exponential Random Graph Models (ERGMs).[39m
[48;5;235m[38;5;249m-   **ERGM: edgecov and dyadcov Specifications** (http://mjh4.blogspot.com/2012/09/ergm-edgecov-and-dyadcov-specifications.html).[49m[39m
[38;5;12m-   [39m[38;5;14m[1mergMargins[0m[38;5;12m (https://CRAN.R-project.org/package=ergMargins) - Process analysis for ERGMs.[39m
[38;5;12m-   [39m[38;5;14m[1mergmito[0m[38;5;12m (https://CRAN.R-project.org/package=ergmito) - ERGMs for small networks.[39m
[38;5;12m-   [39m[38;5;14m[1mfergm[0m[38;5;12m (https://CRAN.R-project.org/package=fergm) - Frailty ERGMs.[39m
[38;5;12m-   [39m[38;5;14m[1mGERGM[0m[38;5;12m (https://CRAN.R-project.org/package=GERGM) - Estimation and diagnosis of the convergence of Generalized Exponential Random Graph Models (GERGM).[39m
[38;5;12m-   [39m[38;5;14m[1mgeomnet[0m[38;5;12m (https://CRAN.R-project.org/package=geomnet) - Single-geometry approach to network visualization with [39m[48;5;235m[38;5;249mggplot2[49m[39m[38;5;12m.[39m
[38;5;12m-   [39m[38;5;14m[1mggnetwork[0m[38;5;12m (https://CRAN.R-project.org/package=ggnetwork) - Multiple-geometries approach to plot network objects with [39m[48;5;235m[38;5;249mggplot2[49m[39m[38;5;12m.[39m
[38;5;12m-   [39m[38;5;14m[1mggraph[0m[38;5;12m (https://CRAN.R-project.org/package=ggraph) - Grammar of graph graphics built in the spirit of [39m[48;5;235m[38;5;249mggplot2[49m[39m[38;5;12m. See also: [39m[48;5;235m[38;5;249mtidygraph[49m[39m[38;5;12m R package.[39m
[38;5;12m-   [39m[38;5;14m[1mgoldfish[0m[38;5;12m (https://github.com/snlab-ch/goldfish) - Dynamic Network Actor-Oriented Model (DyNAM) for the statistical analysis of coordination networks through time.[39m
[38;5;12m-   [39m[38;5;14m[1mgraphlayouts[0m[38;5;12m (https://CRAN.R-project.org/package=graphlayouts) - Layout algorithms based on the concept of [39m[38;5;14m[1mstress majorization[0m[38;5;12m (https://doi.org/10.1007/978-3-540-31843-9_25).[39m
[48;5;235m[38;5;249m-   **Introducing graphlayouts with Game of Thrones** (http://blog.schochastics.net/post/introducing-graphlayouts-with-got/).[49m[39m
[48;5;235m[38;5;249m-   **Network Visualizations in R using ggraph and graphlayouts** (https://mr.schochastics.net/material/netVizR/).[49m[39m[48;5;235m[38;5;249m           [49m[39m
[38;5;12m-   [39m[38;5;14m[1mhergm[0m[38;5;12m (https://CRAN.R-project.org/package=hergm) - Estimate and simulate hierarchical exponential-family random graph models (HERGM) with local dependence.[39m
[38;5;12m-   [39m[38;5;14m[1mhierformR[0m[38;5;12m (https://CRAN.R-project.org/package=hierformR) – Determine paths and states that social networks develop over time to form social hierarchies.[39m
[38;5;12m-   [39m[38;5;14m[1migraph[0m[38;5;12m (http://igraph.org/r/) - A collection of network analysis tools.[39m
[48;5;235m[38;5;249m-   **Network Analysis and Visualization with R and igraph** (http://kateto.net/networks-r-igraph) (2016).[49m[39m
[38;5;12m-   [39m[38;5;14m[1minfluenceR[0m[38;5;12m (https://CRAN.R-project.org/package=influenceR) - Compute various node centrality network measures by Burt, Borgatti and others.[39m
[38;5;12m-   [39m[38;5;14m[1mkeyplayer[0m[38;5;12m (https://CRAN.R-project.org/package=keyplayer) - Implements several network centrality measures.[39m
[38;5;12m-   [39m[38;5;14m[1mlatentnet[0m[38;5;12m (https://CRAN.R-project.org/package=latentnet) - Latent position and cluster models for network objects.[39m
[38;5;12m-   [39m[38;5;14m[1mlevelnet[0m[38;5;12m (https://github.com/schochastics/levelnet) - Experimental package to analyze one-mode projections of bipartite (two-mode) networks. See also: [39m[48;5;235m[38;5;249mbipartite[49m[39m[38;5;12m R package.[39m
[38;5;12m-   [39m[38;5;14m[1mlpNet[0m[38;5;12m (https://www.bioconductor.org/packages/release/bioc/html/lpNet.html) - Linear programming model aimed at infering biological (signalling, gene) networks.[39m
[38;5;12m-   [39m[38;5;14m[1mmlergm[0m[38;5;12m (https://cran.r-project.org/package=mlergm) - Multilevel Exponential-Family Random Graph Models, to model nodes nested within known blocks.[39m
[38;5;12m-   [39m[38;5;14m[1mmultigraph[0m[38;5;12m (https://cran.r-project.org/package=multigraph) - Functions to build and visualize all sorts of multigraphs.[39m
[38;5;12m-   [39m[38;5;14m[1mmultigraphr[0m[38;5;12m (https://cran.r-project.org/package=multigraphr) - Random multigraph models, statistics of multigraph properties, and goodness of fit tests.[39m
[38;5;12m-   [39m[38;5;14m[1mmultinet[0m[38;5;12m (https://CRAN.R-project.org/package=multinet) - Tools for multilayer social networks.[39m
[48;5;235m[38;5;249m- **Related book and data** (http://multilayer.it.uu.se/), and **presentation article** (http://multilayer.it.uu.se/papers/jss.pdf). See `uunet` for the Python version.[49m[39m
[38;5;12m-   [39m[38;5;14m[1mmultinets[0m[38;5;12m (https://cran.r-project.org/package=multinets) - Package to handle multilevel networks in [39m[48;5;235m[38;5;249migraph[49m[39m[38;5;12m.[39m
[38;5;12m-   [39m[38;5;14m[1mmigraph[0m[38;5;12m (https://CRAN.R-project.org/web/packages/migraph/) - A set of tools that extend common social network analysis packages for analysing multimodal and multilevel networks.[39m
[38;5;12m-   [39m[38;5;14m[1mndtv[0m[38;5;12m (https://CRAN.R-project.org/package=ndtv) - Tools to construct animated visualizations of dynamic network data in various formats.[39m
[38;5;12m-   [39m[38;5;14m[1mneo4r[0m[38;5;12m (https://github.com/neo4j-rstats/neo4r) - Neo4J driver for R.[39m
[38;5;12m-   [39m[38;5;14m[1mnetworkD3[0m[38;5;12m (https://christophergandrud.github.io/networkD3/) - Create d3.js network graphs from R.[39m
[38;5;12m-   [39m[38;5;14m[1mnetdiffuseR[0m[38;5;12m (https://CRAN.R-project.org/package=netdiffuseR) - Tools to analyze the network diffusion of innovations.[39m
[38;5;12m-   [39m[38;5;14m[1mnetrankr[0m[38;5;12m (https://CRAN.R-project.org/package=netrankr) - Up-to-date collection of network centrality indices, with lots of documentation.[39m
[48;5;235m[38;5;249m-   **Network Centrality in R: An Introduction** (http://blog.schochastics.net/post/network-centrality-in-r-introduction/) - Includes a review of relevant R packages.[49m[39m[48;5;235m[38;5;249m [49m[39m
[48;5;235m[38;5;249m-   **Network Centrality in R: Neighborhood Inclusion** (http://blog.schochastics.net/post/network-centrality-in-r-neighborhood-inclusion/).[49m[39m[48;5;235m[38;5;249m                           [49m[39m
[48;5;235m[38;5;249m-   **Network Centrality in R: New Ways of Measuring Centrality** (http://blog.schochastics.net/post/network-centrality-in-r-new-ways-of-measuring-centrality/) (2018).[49m[39m
[38;5;12m-   [39m[38;5;14m[1mnetseg[0m[38;5;12m (https://mbojan.github.io/netseg/) - Various measures of network segregation and homophily.[39m
[38;5;12m-   [39m[38;5;14m[1mNetSim[0m[38;5;12m (http://www.christoph-stadtfeld.com/netsim/) - Simulate and combine micro-models to research their impact on the macro-features of social networks.[39m
[38;5;12m-   [39m[38;5;14m[1mnetUtils[0m[38;5;12m (https://github.com/schochastics/netUtils) - Various network functions and methods, e.g. computing the Cartesian product of two graphs or fitting a discrete core periphery model.[39m
[38;5;12m-   [39m[38;5;14m[1mnetwork[0m[38;5;12m (https://CRAN.R-project.org/package=network) - Basic tools to manipulate relational data in R.[39m
[38;5;12m-   [39m[38;5;14m[1mnetworkdata[0m[38;5;12m (https://github.com/schochastics/networkdata) - Includes 979 network datasets containing 2135 networks.[39m
[38;5;12m-   [39m[38;5;14m[1mnetworkdiffusion[0m[38;5;12m (https://github.com/chengjun/networkdiffusion) - Simulate and visualize basic epidemic diffusion in networks.[39m
[38;5;12m-   [39m[38;5;14m[1mnetworkDynamic[0m[38;5;12m (https://CRAN.R-project.org/package=networkDynamic) - Support for dynamic, (inter)temporal networks.[39m
[38;5;12m-   [39m[38;5;14m[1mnetworksis[0m[38;5;12m (https://CRAN.R-project.org/package=networksis) - Tools to simulate bipartite networksgraphs with the degrees of the nodes fixed and specified.[39m
[38;5;12m-   [39m[38;5;14m[1mPAFit[0m[38;5;12m (https://CRAN.R-project.org/package=PAFit) - Nonparametric estimation of preferential attachment and node fitness in temporal complex networks.[39m
[38;5;12m-   [39m[38;5;14m[1mPCIT[0m[38;5;12m (https://CRAN.R-project.org/package=PCIT) - Implements Partial Correlation with Information Theory in order to identify meaningful correlations in weighted networks, such as gene co-expression networks.[39m
[38;5;12m-   [39m[38;5;14m[1mRCy3[0m[38;5;12m (https://bioconductor.org/packages/3.3/bioc/html/RCy3.html) - Interface between R and recent versions of Cytoscape.[39m
[38;5;12m-   [39m[38;5;14m[1mRCyjs[0m[38;5;12m (https://bioconductor.org/packages/release/bioc/html/RCyjs.html) - Interface between R and Cytoscape.js.[39m
[38;5;12m-   [39m[38;5;14m[1mqgraph[0m[38;5;12m (https://CRAN.R-project.org/package=qgraph) - Tools to model and visualize psychometric networks; also aimed at weighted graphical models).[39m
[48;5;235m[38;5;249m-   **Network Model Selection Using qgraph 1.3** (http://psychosystems.org/network-model-selection-using-qgraph-1-3-10/) (2014).[49m[39m[48;5;235m[38;5;249m     [49m[39m
[48;5;235m[38;5;249m-   **qgraph Examples** (http://sachaepskamp.com/qgraph/examples).[49m[39m[48;5;235m[38;5;249m                                                                   [49m[39m
[48;5;235m[38;5;249m-   **qgraph: Network Visualizations of Relationships in Psychometric Data** (https://www.jstatsoft.org/article/view/v048i04) (2012).[49m[39m
[38;5;12m-   [39m[38;5;14m[1mrelevent[0m[38;5;12m (https://CRAN.R-project.org/package=relevent) - Tools to fit relational event models (REM).[39m
[48;5;235m[38;5;249m-   **informR** (https://CRAN.R-project.org/package=informR) - Tools to create sequence statistics from event lists to be used in `relevent`.[49m[39m
[38;5;12m-   [39m[38;5;14m[1mrem[0m[38;5;12m (https://CRAN.R-project.org/package=rem) - Estimate endogenous network effects in event sequences and fit relational event models (REM), which measure how networks form and evolve over time.[39m
[38;5;12m-   [39m[38;5;14m[1mrgexf[0m[38;5;12m (https://CRAN.R-project.org/package=rgexf) - Export network objects from R to GEXF for manipulation with software like Gephi or Sigma.[39m
[38;5;12m-   [39m[38;5;14m[1mRgraphviz[0m[38;5;12m (https://bioconductor.org/packages/release/bioc/html/Rgraphviz.html) - Support for using the Graphviz library and its DOT graph drawing language from within R.[39m
[38;5;12m-   [39m[38;5;14m[1mRSiena[0m[38;5;12m (http://r-forge.r-project.org/R/?group_id=461) - Simulation Investigation for Empirical Network Analysis; fits models to longitudinal network data.[39m
[38;5;12m-   [39m[38;5;14m[1msignnet[0m[38;5;12m (http://signnet.schochastics.net/) Methods to analyse signed networks (structural balance, blockmodeling, centrality, etc.).[39m
[38;5;12m-   [39m[38;5;14m[1msna[0m[38;5;12m (https://CRAN.R-project.org/package=sna) - Basic network constructors, measures and visualization tools.[39m
[38;5;12m-   [39m[38;5;14m[1msnahelper[0m[38;5;12m (https://CRAN.R-project.org/package=snahelper) - RStudio addin which provides a GUI to visualize and analyse networks[39m
[48;5;235m[38;5;249m- **Introduction to snahelper (Part 1)** (http://blog.schochastics.net/post/an-rstudio-addin-for-network-analysis-and-visualization/)[49m[39m
[48;5;235m[38;5;249m- **Introduction to snahelper (Part 2)** (http://blog.schochastics.net/post/new-rstudio-addins-for-network-analysis/)[49m[39m[48;5;235m[38;5;249m                [49m[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mSocialMediaLab[0m[38;5;12m [39m[38;5;12m(https://CRAN.R-project.org/package=SocialMediaLab)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mTools[39m[38;5;12m [39m[38;5;12mfor[39m[38;5;12m [39m[38;5;12mcollecting[39m[38;5;12m [39m[38;5;12msocial[39m[38;5;12m [39m[38;5;12mmedia[39m[38;5;12m [39m[38;5;12mdata[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mgenerating[39m[38;5;12m [39m[38;5;12mnetworks[39m[38;5;12m [39m[38;5;12mfrom[39m[38;5;12m [39m[38;5;12mit[39m[38;5;12m [39m[38;5;12m([39m[38;5;14m[1mcompanion[0m[38;5;14m[1m [0m[38;5;14m[1mwebsite[0m[38;5;12m [39m[38;5;12m(http://vosonlab.net/SocialMediaLab),[39m[38;5;12m [39m[38;5;14m[1mgithub[0m[38;5;14m[1m [0m[38;5;14m[1mrepo[0m[38;5;12m [39m
[38;5;12m(https://github.com/voson-labSocialMediaLab)).[39m
[38;5;12m-   [39m[38;5;14m[1mspectralGOF[0m[38;5;12m (http://people.bu.edu/jccs/spectralGOF.html) - Computes the spectral goodness of fit (SGOF), a measure of how well a network model explains the structure of an observed network.[39m
[38;5;12m-   [39m[38;5;14m[1mspnet[0m[38;5;12m (https://CRAN.R-project.org/package=spnet) - Methods for visualizing spatial networks on maps in the [39m[48;5;235m[38;5;249msp[49m[39m[38;5;12m class.[39m
[38;5;12m-   [39m[38;5;14m[1mspNetwork[0m[38;5;12m (https://CRAN.R-project.org/package=spNetwork) - Methods for spatial network analysis, including e.g. kernel density estimation, distances and point pattern analysis.[39m
[38;5;12m-   [39m[38;5;14m[1mstatnet[0m[38;5;12m (https://statnet.org/) - The project behind many R network analysis packages ([39m[38;5;14m[1mmailing-list[0m[38;5;12m (https://mailman13.u.washington.edu/mailman/listinfo/statnet_help), [39m[38;5;14m[1mtutorials/workshops[0m[38;5;12m (https://statnet.org/workshops/)).[39m
[48;5;235m[38;5;249m-   **Exponential Random Graph Models (ERGMs) Using statnet** (https://statnet.org/workshop-ergm/ergm_tutorial.html) (2022).[49m[39m
[48;5;235m[38;5;249m-   **Guides for Using the statnet Package** (http://www.melissaclarkson.com/resources/R_guides/) (2010).[49m[39m[48;5;235m[38;5;249m                   [49m[39m
[48;5;235m[38;5;249m-   **Modeling Valued Networks with statnet** (https://statnet.org/workshop-valued/valued.html) (2022).[49m[39m[48;5;235m[38;5;249m                     [49m[39m
[38;5;12m-   [39m[38;5;14m[1mtergm[0m[38;5;12m (https://CRAN.R-project.org/package=tergm) - Fit, simulate and diagnose models for temporal exponential-family random graph models (TERGM).[39m
[38;5;12m-   [39m[38;5;14m[1mtidygraph[0m[38;5;12m (https://CRAN.R-project.org/package=tidygraph) - ‘Tidy’ approach to building graph structures. See also: [39m[48;5;235m[38;5;249mggraph[49m[39m[38;5;12m R package.[39m
[48;5;235m[38;5;249m-   **Introducing tidygraph** (https://www.data-imaginist.com/2017/introducing-tidygraph/)[49m[39m[48;5;235m[38;5;249m                                                                        [49m[39m
[48;5;235m[38;5;249m-   **Tidying up your network analysis with tidygraph and ggraph** (https://posit.co/resources/videos/tidying-up-your-network-analysis-with-tidygraph-and-ggraph/)[49m[39m
[38;5;12m-   [39m[38;5;14m[1mtnam[0m[38;5;12m (https://CRAN.R-project.org/package=tnam) - Tools to fit temporal and cross-sectional network autocorrelation models (TNAM).[39m
[38;5;12m-   [39m[38;5;14m[1mtnet[0m[38;5;12m (https://CRAN.R-project.org/package=tnet) - Network measures for weighted, two-mode and longitudinal networks.[39m
[38;5;12m-   [39m[38;5;14m[1mtsna[0m[38;5;12m (https://CRAN.R-project.org/package=tsna) - Tools for temporal social network analysis.[39m
[38;5;12m-   [39m[38;5;14m[1mvisNetwork[0m[38;5;12m (https://github.com/DataKnowledge/visNetwork) - Using vis.js library for network visualization.[39m
[38;5;12m-   [39m[38;5;14m[1mxergm[0m[38;5;12m (https://CRAN.R-project.org/package=xergm) - Extensions of exponential random graph models (ERGM, GERGM, TERGM, TNAM and REM).[39m

[38;2;255;187;0m[4mStata[0m

[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mnwcommands:[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mAnalysis[0m[38;5;14m[1m [0m[38;5;14m[1mUsing[0m[38;5;14m[1m [0m[38;5;14m[1mStata[0m[38;5;12m [39m[38;5;12m(https://nwcommands.wordpress.com/)[39m[38;5;12m [39m[38;5;12m([39m[38;5;14m[1mdiscussion[0m[38;5;12m [39m[38;5;12m(http://www.statalist.org/forums/forum/general-stata-discussion/general/1290963-network-analysis-which-command-to-use),[39m[38;5;12m [39m[38;5;14m[1mtutorials[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mslides[0m[38;5;12m [39m
[38;5;12m(https://nwcommands.wordpress.com/tutorials-and-slides/)).[39m
[38;5;12m-   [39m[38;5;14m[1mSNA with Stata[0m[38;5;12m (http://www.rensecorten.org/index.php/category/sna-with-stata/) - Blog documenting the use of the netplot Stata package.[39m

[38;2;255;187;0m[4mSyntaxes[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mGeneric graph syntaxes intended for use by several programs.[39m

[38;5;12m-   [39m[38;5;14m[1mDOT[0m[38;5;12m (http://www.graphviz.org/doc/info/lang.html) - Graph drawing syntax used by the Graphviz software.[39m
[38;5;12m-   [39m[38;5;14m[1mGEXF[0m[38;5;12m (https://gexf.net) - File format used by the Gephi software.[39m
[38;5;12m-   [39m[38;5;14m[1mGraphML[0m[38;5;12m (http://graphml.graphdrawing.org/) - Comprehensive and easy-to-use file format for graphs ([39m[38;5;14m[1mhandbook chapter[0m[38;5;12m (https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/BrEiLe10.pdf)).[39m
[38;5;12m-   [39m[38;5;14m[1mJGraphT[0m[38;5;12m (https://jgrapht.org/) - Java graph library for graph data structures and algorithms ([39m[38;5;14m[1mexample algorithms[0m[38;5;12m (https://github.com/agouge/Java-Network-Analyzer)).[39m
[38;5;12m-   [39m[38;5;14m[1mJUNG - Java Universal Network/Graph Framework[0m[38;5;12m (https://jung.sourceforge.net/) - Extensible library to represent network objects.[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mPGF/TikZ[0m[38;5;12m [39m[38;5;12m(http://www.ctan.org/tex-archive/graphics/pgf/)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;14m[1mTandem[0m[38;5;12m [39m[38;5;12m(https://en.wikipedia.org/wiki/PGF/TikZ)[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mvector[39m[38;5;12m [39m[38;5;12mgraphics[39m[38;5;12m [39m[38;5;12mlanguages[39m[38;5;12m [39m[38;5;12mthat[39m[38;5;12m [39m[38;5;12mcan[39m[38;5;12m [39m[38;5;12mbe[39m[38;5;12m [39m[38;5;12mused[39m[38;5;12m [39m[38;5;12mto[39m[38;5;12m [39m[38;5;12mdraw[39m[38;5;12m [39m[38;5;12mgraphs[39m[38;5;12m [39m[38;5;12min[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;14m[1mLaTeX[0m[38;5;12m [39m[38;5;12m(https://latex-project.org/)[39m[38;5;12m [39m[38;5;12mtypesetting[39m[38;5;12m [39m
[38;5;12menvironment.[39m
[48;5;235m[38;5;249m-   **Awesome LaTeX: TiKZ** (https://github.com/egeerardyn/awesome-LaTeX#tikz).[49m[39m[48;5;235m[38;5;249m                                        [49m[39m
[48;5;235m[38;5;249m-   **How to Draw Graphs in LaTeX?** (https://tex.stackexchange.com/questions/57152/how-to-draw-graphs-in-latex)[49m[39m[48;5;235m[38;5;249m       [49m[39m
[48;5;235m[38;5;249m-   **TikZ Graph Examples** (http://www.texample.net/tikz/examples/tag/graphs/).[49m[39m[48;5;235m[38;5;249m                                       [49m[39m
[48;5;235m[38;5;249m-   **TikZ & PGF Manual** (http://distrib-coffee.ipsl.jussieu.fr/pub/mirrors/ctan/graphics/pgf/base/doc/pgfmanual.pdf).[49m[39m
[48;5;235m[38;5;249m-   **TKZ** (http://altermundus.com/pages/tkz/index.html) - Packages based on TikZ.[49m[39m[48;5;235m[38;5;249m                                    [49m[39m
[38;5;12m-   [39m[38;5;14m[1mTLP - Tulip Software Graph Format[0m[38;5;12m (http://tulip.labri.fr/TulipDrupal/?q=tlp-file-format) - Graph syntax used by the Tulip software framework.[39m
[38;5;12m-   [39m[38;5;14m[1mCypher[0m[38;5;12m (http://neo4j.com/docs/stable/cypher-query-lang.html) - Graph query language used by [39m[38;5;14m[1mNeo4j[0m[38;5;12m (http://neo4j.com/).[39m

[38;2;255;187;0m[4mTutorials[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mTutorials that are not focused on a single specific software package or program.[39m

[38;5;12m-   [39m[38;5;14m[1mBasic and Advanced Network Visualization with Gephi and R[0m[38;5;12m (http://kateto.net/sunbelt2016) (2016).[39m
[38;5;12m-   [39m[38;5;14m[1mBasic Network Analysis in R using igraph and related packages[0m[38;5;12m (https://mr.schochastics.net/material/netAnaR/) (2022).[39m
[38;5;12m-   [39m[38;5;14m[1mInteractive and Dynamic Network Visualization in R[0m[38;5;12m (http://curleylab.psych.columbia.edu/netviz/) and JavaScript libraries (2016).[39m
[38;5;12m-   [39m[38;5;14m[1mNodegoat and Palladio: Introductory Workshop[0m[38;5;12m (https://www.academia.edu/11450425/Nodegoat_and_Palladio_Introductory_Workshop_by_Emmanuelle_Chaze) - Aimed at humanists (2015).[39m
[38;5;12m-   [39m[38;5;14m[1mStatic and Dynamic Network Visualization with R[0m[38;5;12m (http://kateto.net/network-visualization) - Covers the igraph, network, ggraph, network, networkD3, ndtv, threejs and visNetwork packages (2019).[39m

[38;2;255;187;0m[4mVaria[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mResources that do not fit in other categories.[39m

[38;5;12m-   [39m[38;5;14m[1m+100 herramientas para el análisis de redes sociales[0m[38;5;12m (http://www.k-government.com/2016/06/28/100-herramientas-analisis-redes-sna-ars/) - Long list of diverse applications of network analysis, with shorts descriptions in Spanish.[39m
[38;5;12m-   [39m[38;5;14m[1mAwesome graph classification[0m[38;5;12m (https://github.com/benedekrozemberczki/awesome-graph-classification) - Comprehensive list of graph embedding papers with title, authors, link to the paper and reference implementation.[39m
[38;5;12m-   [39m[38;5;14m[1mAwesome community detection[0m[38;5;12m (https://github.com/benedekrozemberczki/awesome-community-detection) - Comprehensive list of community detection papers with title, authors, link to the paper and reference implementation.[39m
[38;5;12m-   [39m[38;5;14m[1mCentrality Measures as a Signature of Roles in Rousseau’s _Les Confessions_[0m[38;5;12m (http://yro.ch/centrality-measures-signature-roles-rousseaus-les-confessions/) - Analysis of a real-world character network.[39m
[38;5;12m-   [39m[38;5;14m[1mCheat Sheet: Social Network Analysis for Humanists[0m[38;5;12m (https://cvcedhlab.hypotheses.org/106) - Basic notions to remember when assembling and manipulating network data.[39m
[38;5;12m-   [39m[38;5;14m[1mComputer Technologies for the Historical Research of Intellectual Networks[0m[38;5;12m (https://www.youtube.com/playlist?list=PLz79Il7EOvUJxdQ9r2IefFtr--BNkfOa7) - Series of videos by historians, featuring Marten Düring and Scott Weingart.[39m
[38;5;12m-   [39m[38;5;14m[1mConvert Between Graph Formats[0m[38;5;12m (http://awesome.cs.jhu.edu/graph-services/convert/) - Online service to convert from/to many different common graph formats.[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mDavid[0m[38;5;14m[1m [0m[38;5;14m[1mKnoke[0m[38;5;14m[1m [0m[38;5;14m[1mon[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mAnalysis[0m[38;5;12m [39m[38;5;12m(https://thesocietypages.org/methods/2015/01/30/david-knoke-on-network-analysis/)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12m20-minute[39m[38;5;12m [39m[38;5;12minterview[39m[38;5;12m [39m[38;5;12mthat[39m[38;5;12m [39m[38;5;12mdiscusses[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;12muses[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mbenefits[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mnetwork[39m[38;5;12m [39m[38;5;12manalysis,[39m[38;5;12m [39m[38;5;12mdrawing[39m[38;5;12m [39m[38;5;12mupon[39m[38;5;12m [39m[38;5;12mKnoke’s[39m[38;5;12m [39m[38;5;12mresearch[39m[38;5;12m [39m[38;5;12mon[39m[38;5;12m [39m
[38;5;12mterrorist[39m[38;5;12m [39m[38;5;12mnetworks.[39m
[38;5;12m-   [39m[38;5;14m[1mGlossary of Terms for Statistical Network Models[0m[38;5;12m (https://statnet.org/trac/raw-attachment/wiki/Resources/glossary.pdf).[39m
[38;5;12m-   [39m[38;5;14m[1mLinton C. Freeman’s Social Network Research Publications[0m[38;5;12m (http://moreno.ss.uci.edu/pubs.html), spanning from 1955 to today.[39m
[38;5;12m-   [39m[38;5;14m[1mMapping the Republic of Letters[0m[38;5;12m (http://republicofletters.stanford.edu/) - Research project on early-modern scholarship ([39m[38;5;14m[1munderlying software[0m[38;5;12m (http://www.densitydesign.org/research/knot/)).[39m
[38;5;12m-   [39m[38;5;14m[1mMixed-Method Approaches to Social Network Analysis[0m[38;5;12m (https://www.youtube.com/playlist?list=PL3zdEY084WkQD79mR00RSt8j5RuyPwMJE) - Videos of a conference at the Middlesex University School of Law (2014).[39m
[38;5;12m-   [39m[38;5;14m[1mModeling Complex Social Networks: Challenges and Opportunities for Statistical Learning and Inference[0m[38;5;12m (https://www.youtube.com/watch?v=1xLjYc7EUEU) - Video of a seminar talk by Jennifer Neville at Purdue University (2011).[39m
[38;5;12m-   [39m[38;5;14m[1mNetSciEd - Network Science in Education[0m[38;5;12m (https://sites.google.com/a/binghamton.edu/netscied/home) - International initiative aimed at improving network literacy.[39m
[38;5;12m-   (@) [39m[38;5;14m[1mNetwork Fact[0m[38;5;12m (https://twitter.com/networkfact) - Twitter account on networks, graph theory, and related topics.[39m
[38;5;12m-   [39m[38;5;14m[1mNetwork Map of Knowledge and Art[0m[38;5;12m (https://paolonegrini.wordpress.com/2012/11/19/network-map-of-knowledge-and-art/) - DBPedia-derived networks of who-was-influenced-by-whom directed ties, using SPARQL and Gephi.[39m
[38;5;12m-   (@) [39m[38;5;14m[1mNetwork Science[0m[38;5;12m (https://twitter.com/Ognyanova/lists/network-science/members) - A thematic list of Twitter accounts, curated by [39m[38;5;14m[1mKatherine Ognyanova[0m[38;5;12m (https://twitter.com/Ognyanova).[39m
[38;5;12m-   [39m[38;5;14m[1mThe Networks Network[0m[38;5;12m (https://groups.google.com/forum/?hl=en-GB#!forum/the-networks-network) - Mailing-list (mostly historians from the HNR network).[39m
[38;5;12m-   [39m[38;5;14m[1mNew Perspectives for Relational Learning[0m[38;5;12m (http://www.birs.ca/events/2015/5-day-workshops/15w5080/videos) - Videos (and more) from a workshop at the Banff International Research Station (BIRS) (2015).[39m
[38;5;12m-   [39m[38;5;14m[1mOpen Graph protocol[0m[38;5;12m (http://ogp.me/) - A proposed standard to turn any Web page into a “social graph object.”[39m
[38;5;12m-   [39m[38;5;14m[1mPeriodic Table of Network Centrality[0m[38;5;12m (http://schochastics.net/sna/periodic.html) - Interactive periodic table of centrality indices.[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mPicking[0m[38;5;14m[1m [0m[38;5;14m[1mSides[0m[38;5;12m [39m[38;5;12m(https://codeandculture.wordpress.com/2015/04/03/picking-sides/)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mCommunity[39m[38;5;12m [39m[38;5;12mdetection[39m[38;5;12m [39m[38;5;12min[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;12mpolitical[39m[38;5;12m [39m[38;5;12mnetwork[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mMiddle[39m[38;5;12m [39m[38;5;12mEastern[39m[38;5;12m [39m[38;5;12malliances[39m[38;5;12m [39m[38;5;12mbetween[39m[38;5;12m [39m[38;5;12mvarious[39m[38;5;12m [39m[38;5;12mstate[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;12mnonstate[39m[38;5;12m [39m[38;5;12mpowers[39m[38;5;12m [39m[38;5;12m([39m[38;5;14m[1mupdated[0m[38;5;14m[1m [0m[38;5;14m[1mversion[0m[38;5;12m [39m
[38;5;12m(https://gist.github.com/briatte/c6df2f855afb4eb142e6)).[39m

[38;5;12m-   [39m[38;5;14m[1mPsych Networks[0m[38;5;12m (http://psych-networks.com/) - Website with news, references and [39m[38;5;14m[1mtutorials[0m[38;5;12m (https://psych-networks.com/tutorials/) about network modeling for psychological data.[39m
[38;5;12m  - [39m[38;5;14m[1mTutorial Paper on New Methods for Estimating Psychological Networks[0m[38;5;12m (http://psych-networks.com/tutorial-paper-new-methods-estimating-psychological-networks/).[39m
[38;5;12m-   [39m[38;5;14m[1m(Psychological) Network Analysis Workshops[0m[38;5;12m (https://osf.io/6axte/) - 3-day workshop on psychological network analysis using R (2019).[39m
[38;5;12m-   [39m[38;5;14m[1mShould I do Social Network Analysis?[0m[38;5;12m (https://cvcedhlab.hypotheses.org/125).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mThe[0m[38;5;14m[1m [0m[38;5;14m[1mSmall[0m[38;5;14m[1m [0m[38;5;14m[1mWorld[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mPsychopathology[0m[38;5;12m [39m[38;5;12m(http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0027407)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mPaper[39m[38;5;12m [39m[38;5;12mon[39m[38;5;12m [39m[38;5;12mhow[39m[38;5;12m [39m[38;5;12mpsychiatric[39m[38;5;12m [39m[38;5;12msymptoms[39m[38;5;12m [39m[38;5;12mconnec[39m[38;5;12m [39m[38;5;12mto[39m[38;5;12m [39m[38;5;12meach[39m[38;5;12m [39m[38;5;12mother[39m[38;5;12m [39m[38;5;12m([39m[38;5;14m[1mcode,[0m[38;5;14m[1m [0m[38;5;14m[1mdata[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mgraphs[0m[38;5;12m [39m
[38;5;12m(https://sites.google.com/site/dsmgraphs/Home/files)).[39m
[38;5;12m-   [39m[38;5;14m[1mSocial Network Analysis in DBpedia[0m[38;5;12m (http://othes.univie.ac.at/12285/1/2010-10-14_0703857.pdf) - Highly didactic Master’s dissertation, showing how to use SPARQL and Pajek.[39m
[38;5;12m-   [39m[38;5;14m[1mSNA-DE Mailing-List[0m[38;5;12m (https://dlist.server.uni-frankfurt.de/mailman/listinfo/sna-de), in German.[39m
[38;5;12m-   [39m[38;5;14m[1mSPARQL for R Tutorial - Hollywood Social Network Analysis[0m[38;5;12m (http://semanticweb.cs.vu.nl/R/sparql_hollywood/sparql_hollywood.html) - Also uses Gephi.[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mA[0m[38;5;14m[1m [0m[38;5;14m[1mSociology[0m[38;5;14m[1m [0m[38;5;14m[1mCitation[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;12m [39m[38;5;12m(http://nealcaren.web.unc.edu/a-sociology-citation-network/)[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;14m[1mA[0m[38;5;14m[1m [0m[38;5;14m[1mCo-citation[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mfor[0m[38;5;14m[1m [0m[38;5;14m[1mPhilosophy[0m[38;5;12m [39m[38;5;12m(https://kieranhealy.org/blog/archives/2013/06/18/a-co-citation-network-for-philosophy/)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mExamples[39m[38;5;12m [39m
[38;5;12mof[39m[38;5;12m [39m[38;5;12mscientific[39m[38;5;12m [39m[38;5;12mco-citation[39m[38;5;12m [39m[38;5;12mnetworks.[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mUsing[0m[38;5;14m[1m [0m[38;5;14m[1mMetadata[0m[38;5;14m[1m [0m[38;5;14m[1mto[0m[38;5;14m[1m [0m[38;5;14m[1mFind[0m[38;5;14m[1m [0m[38;5;14m[1mPaul[0m[38;5;14m[1m [0m[38;5;14m[1mRevere[0m[38;5;12m [39m[38;5;12m(https://kieranhealy.org/blog/archives/2013/06/09/using-metadata-to-find-paul-revere/)[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;14m[1mThe[0m[38;5;14m[1m [0m[38;5;14m[1mOther[0m[38;5;14m[1m [0m[38;5;14m[1mRide[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mPaul[0m[38;5;14m[1m [0m[38;5;14m[1mRevere:[0m[38;5;14m[1m [0m[38;5;14m[1mThe[0m[38;5;14m[1m [0m[38;5;14m[1mBrokerage[0m[38;5;14m[1m [0m[38;5;14m[1mRole[0m[38;5;14m[1m [0m[38;5;14m[1min[0m[38;5;14m[1m [0m[38;5;14m[1mthe[0m[38;5;14m[1m [0m[38;5;14m[1mMaking[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mthe[0m[38;5;14m[1m [0m[38;5;14m[1mAmerican[0m[38;5;14m[1m [0m[38;5;14m[1mRevolution[0m[38;5;12m [39m
[38;5;12m(http://www.sscnet.ucla.edu/polisci/faculty/chwe/ps269/han.pdf)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mNetwork[39m[38;5;12m [39m[38;5;12manalysis[39m[38;5;12m [39m[38;5;12mapplied[39m[38;5;12m [39m[38;5;12mto[39m[38;5;12m [39m[38;5;12mAmerican[39m[38;5;12m [39m[38;5;12mrevolutionaries.[39m
[38;5;12m-   [39m[38;5;14m[1mVisual Complexity. An Exploration on Mapping Complex Networks[0m[38;5;12m (http://www.visualcomplexity.com/vc/) - Tons of beautiful network and tree visualizations ([39m[38;5;14m[1mbook[0m[38;5;12m (http://www.visualcomplexity.com/vc/book/), also in Chinese and French).[39m
[38;5;12m-   [39m[38;5;14m[1mVisualizing Historical Networks[0m[38;5;12m (https://histecon.fas.harvard.edu/visualizing/index.html) - Historical network research projects at Harvard University.[39m
[48;5;235m[38;5;249m-   **Angoulême in 1764** (https://histecon.fas.harvard.edu/visualizing/angouleme/index.html).[49m[39m[48;5;235m[38;5;249m                                          [49m[39m
[48;5;235m[38;5;249m-   **Economists in Cambridge** (https://histecon.fas.harvard.edu/visualizing/graphing/economists.html).[49m[39m[48;5;235m[38;5;249m                                [49m[39m
[48;5;235m[38;5;249m-   **The Inner Life of Empires: An Eighteenth Century History** (https://histecon.fas.harvard.edu/visualizing/graphing/innerlife.html).[49m[39m

[38;2;255;187;0m[4mBlog Series[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mSeries of blog posts on network topics.  [39m

[38;5;12m-   [39m[38;5;14m[1mArchaeological Networks[0m[38;5;12m (http://archaeologicalnetworks.wordpress.com/) - Tom Brughmans’ blog, aimed at archaeologists and historians.[39m
[38;5;12m-   [39m[38;5;14m[1mBlog Posts About Networks by Aaron Clauset[0m[38;5;12m (https://www.cs.unm.edu/~aaron/blog/archives/networks/index.htm).[39m
[38;5;12m-   [39m[38;5;14m[1mBlog Posts About Networks by Baptiste Coulmont[0m[38;5;12m (http://coulmont.com/index.php?s=r%C3%A9seaux), in French.[39m
[38;5;12m-   [39m[38;5;14m[1mBlog Posts About Networks by Cosma R. Shalizi[0m[38;5;12m (http://bactra.org/weblog/cat_networks.html).[39m
[38;5;12m-   [39m[38;5;14m[1mBlog Posts About Networks by François Briatte[0m[38;5;12m (https://politbistro.hypotheses.org/tag/reseaux), in French.[39m
[38;5;12m-   [39m[38;5;14m[1mBlog Posts About Networks by Katya Ognyanova[0m[38;5;12m (http://kateto.net/networks).[39m
[38;5;12m-   [39m[38;5;14m[1mBlog Posts About Networks by Pierre Mercklé[0m[38;5;12m (http://pierremerckle.fr/category/reseaux/), in French.[39m
[38;5;12m-   [39m[38;5;14m[1mBlog Posts About Networks on the Bad Hessian Blog[0m[38;5;12m (http://badhessian.org/category/networks/), by various contributors.[39m
[38;5;12m-   Blog posts about networks on [39m[38;5;14m[1mR-Bloggers[0m[38;5;12m (http://www.r-bloggers.com/), an aggregator of R blogs:[39m
[48;5;235m[38;5;249m  -   **Networks** (http://www.r-bloggers.com/?s=networks).[49m[39m[48;5;235m[38;5;249m                              [49m[39m
[48;5;235m[38;5;249m  -   **Social Network Analysis** (http://www.r-bloggers.com/?s=social+network+analysis).[49m[39m
[38;5;12m-   [39m[38;5;14m[1mCosma R. Shalizi’s Notebooks[0m[38;5;12m (http://bactra.org/notebooks) on network-related topics, definitely worth listing in (selective) detail:[39m
[48;5;235m[38;5;249m  -   **Analysis of Network Data** (http://bactra.org/notebooks/network-data-analysis.html).[49m[39m[48;5;235m[38;5;249m                                                                                  [49m[39m
[48;5;235m[38;5;249m  -   **Assortative Social Networks and Neutral Cultural Evolution** (http://bactra.org/notebooks/neutral-cultural-networks.html).[49m[39m[48;5;235m[38;5;249m                                            [49m[39m
[48;5;235m[38;5;249m  -   **Biochemical Network Evolution** (http://bactra.org/notebooks/biochem-network-evol.html).[49m[39m[48;5;235m[38;5;249m                                                                              [49m[39m
[48;5;235m[38;5;249m  -   **Citations and Citation Networks** (http://bactra.org/notebooks/citations.html).[49m[39m[48;5;235m[38;5;249m                                                                                       [49m[39m
[48;5;235m[38;5;249m  -   **Community Discovery Methods for Complex Networks** (http://bactra.org/notebooks/community-discovery.html).[49m[39m[48;5;235m[38;5;249m                                                            [49m[39m
[48;5;235m[38;5;249m  -   **Complex Networks** (http://bactra.org/notebooks/complex-networks.html).[49m[39m[48;5;235m[38;5;249m                                                                                               [49m[39m
[48;5;235m[38;5;249m  -   **Experiments on Social Networks** (http://bactra.org/notebooks/network-experiments.html).[49m[39m[48;5;235m[38;5;249m                                                                              [49m[39m
[48;5;235m[38;5;249m  -   **Exponential Random Graph Models (ERGMs)** (http://bactra.org/notebooks/ergms.html).[49m[39m[48;5;235m[38;5;249m                                                                                   [49m[39m
[48;5;235m[38;5;249m  -   **Graph Sampling Algorithms** (http://bactra.org/notebooks/graph-sampling.html).[49m[39m[48;5;235m[38;5;249m                                                                                        [49m[39m
[48;5;235m[38;5;249m  -   **Graph Theory** (http://bactra.org/notebooks/graph-theory.html).[49m[39m[48;5;235m[38;5;249m                                                                                                       [49m[39m
[48;5;235m[38;5;249m  -   **Homophily and Influence in Social Networks** (http://bactra.org/notebooks/homophily-vs-influence.html).[49m[39m[48;5;235m[38;5;249m                                                               [49m[39m
[48;5;235m[38;5;249m  -   **Inferring Networks from Non-Network Data** (http://bactra.org/notebooks/inferring-networks.html).[49m[39m[48;5;235m[38;5;249m                                                                     [49m[39m
[48;5;235m[38;5;249m  -   **Joint Modeling of Texts and Networks** (http://bactra.org/notebooks/text-networks.html).[49m[39m[48;5;235m[38;5;249m                                                                              [49m[39m
[48;5;235m[38;5;249m  -   **Network Comparison** (http://bactra.org/notebooks/network-comparisons.html).[49m[39m[48;5;235m[38;5;249m                                                                                          [49m[39m
[48;5;235m[38;5;249m  -   **Networks of Political Actors** (http://bactra.org/notebooks/networks-of-political-actors.html).[49m[39m[48;5;235m[38;5;249m                                                                       [49m[39m
[48;5;235m[38;5;249m  -   **Relational Learning** (http://bactra.org/notebooks/relational-learning.html).[49m[39m[48;5;235m[38;5;249m                                                                                         [49m[39m
[48;5;235m[38;5;249m  -   **Social Contagion, Information Cascades, Diffusion of Innovations, Etc.** (http://bactra.org/notebooks/social-contagion.html)[49m[39m[48;5;235m[38;5;249m                                          [49m[39m
[48;5;235m[38;5;249m  -   **Social Networks** (http://bactra.org/notebooks/social-networks.html).[49m[39m[48;5;235m[38;5;249m                                                                                                 [49m[39m
[48;5;235m[38;5;249m  -   **Stochastic Block Models** (http://bactra.org/notebooks/stochastic-block-models.html).[49m[39m[48;5;235m[38;5;249m                                                                                 [49m[39m
[48;5;235m[38;5;249m        -   See also: **An Annotated Bibliography on Stochastic Blockmodels** (https://www.alexpghayes.com/blog/an-annotated-bibliography-on-stochastic-block-models/) (2019).[49m[39m
[38;5;12m-   Daniel Little’s blog posts on the philosophy of social science:[39m
[48;5;235m[38;5;249m  -   **Networks** (https://understandingsociety.blogspot.com/search/label/networks).[49m[39m[48;5;235m[38;5;249m                [49m[39m
[48;5;235m[38;5;249m  -   **Social Networks** (https://understandingsociety.blogspot.com/search/label/social%20networks).[49m[39m
[38;5;12m-   Martin Grandjean’s blog posts about (mostly) network visualization, in English and French:[39m
[48;5;235m[38;5;249m  -   **Network Analysis** (https://www.martingrandjean.ch/tag/analyse-de-reseau/).[49m[39m
[48;5;235m[38;5;249m  -   **Social Networks** (https://www.martingrandjean.ch/tag/reseaux-sociaux/).[49m[39m[48;5;235m[38;5;249m   [49m[39m
[38;5;12m-   [39m[38;5;14m[1mNetworks Demystified[0m[38;5;12m (http://www.scottbot.net/HIAL/index.html@tag=networks-demystified.html), a series of blog posts by Scott B. Weingart.[39m
[38;5;12m-   [39m[38;5;14m[1mNetze und Netzwerke[0m[38;5;12m (https://netzeundnetzwerke.de/), in English and German - Blog on the history of network analysis, by Sebastian Gießmann ([39m[38;5;14m[1mold blog[0m[38;5;12m (http://www.netzeundnetzwerke.de/old/)).[39m
[38;5;12m-   [39m[38;5;14m[1mR / Notes: Networks[0m[38;5;12m (https://f.briatte.org/r/category/networks) - Blog posts focused on manipulating networks in R, by François Briatte.[39m
[38;5;12m-   [39m[38;5;14m[1mTNT: The Network Thinkers[0m[38;5;12m (http://www.thenetworkthinkers.com/) - Valdis Krebs’ blog.[39m
[38;5;12m-   [39m[38;5;14m[1mUnder Roquentin’s Chestnut Tree[0m[38;5;12m (https://mboudour.github.io/) - Moses Boudourides’ blog on analyzing (mostly) networks with Python.[39m
[38;5;12m-   Yannick Rochat’s blog posts about digital humanities, in English and French:[39m
[48;5;235m[38;5;249m  -   **Character Networks** (https://yro.ch/tag/character-network/).[49m[39m
[48;5;235m[38;5;249m  -   **Network Analysis** (https://yro.ch/tag/network-analysis/).[49m[39m[48;5;235m[38;5;249m   [49m[39m

[38;2;255;187;0m[4mFictional Networks[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mExplorations of fictional character networks.[39m

[38;5;12m-   [39m[38;5;14m[1mAnalyzing Networks of Characters in _Love Actually_[0m[38;5;12m (http://varianceexplained.org/r/love-actually-network/) - Features a cluster analysis and a [39m[38;5;14m[1mShiny app[0m[38;5;12m (https://dgrtwo.shinyapps.io/love-actually-network/) (using R + Shiny).[39m
[38;5;12m-   [39m[38;5;14m[1mCharacter Co-Occurrences in Victor Hugo’s _Les Misérables_[0m[38;5;12m (https://docs.bokeh.org/en/latest/docs/examples/topics/categorical/les_mis.html), plotted as an adjacency matrix, written in Python (+ Javascript).[39m

[38;5;12m-   [39m[38;5;14m[1mLessons on Exponential Random Graph Modeling from _Grey’s Anatomy_ hook-ups[0m[38;5;12m (http://badhessian.org/2012/09/lessons-on-exponential-random-graph-modeling-from-greys-anatomy-hook-ups/) (using R).[39m
[38;5;12m-   [39m[38;5;14m[1mNetwork Analysis of Shakespeare’s _Macbeth_[0m[38;5;12m (https://mboudour.github.io/2015/10/28/Shakespeare's-Macbeth-Network.html) (using Python).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mThe[0m[38;5;14m[1m [0m[38;5;14m[1mNetwork[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mTrajectories[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mTransitions[0m[38;5;14m[1m [0m[38;5;14m[1mamong[0m[38;5;14m[1m [0m[38;5;14m[1mSentential[0m[38;5;14m[1m [0m[38;5;14m[1mCo-Occurrences[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mCharacters[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mArthur[0m[38;5;14m[1m [0m[38;5;14m[1mConan[0m[38;5;14m[1m [0m[38;5;14m[1mDoyle’s[0m[38;5;14m[1m [0m[38;5;14m[1m_A[0m[38;5;14m[1m [0m[38;5;14m[1mStudy[0m[38;5;14m[1m [0m[38;5;14m[1min[0m[38;5;14m[1m [0m[38;5;14m[1mScarlet_[0m[38;5;12m [39m
[38;5;12m(https://mboudour.github.io/2016/04/17/Arthur-Conan-Doyle's-A-Study-in-Scarlet-Network-&-Trajectories.html)[39m[38;5;12m [39m[38;5;12m(using[39m[38;5;12m [39m[38;5;12mPython;[39m[38;5;12m [39m[38;5;14m[1mcode[0m[38;5;12m [39m
[38;5;12m(https://github.com/mboudour/WordNets/blob/master/ArthurConanDoyle_AStudyInScarlet_Network%26Trajectories.ipynb)).[39m
[38;5;12m-   [39m[38;5;14m[1mNetwork Visualization: Mapping Shakespeare’s Tragedies[0m[38;5;12m (https://www.martingrandjean.ch/network-visualization-shakespeare/).[39m
[38;5;12m-   [39m[38;5;14m[1mSocial Network Analysis of _Alice in Wonderland_[0m[38;5;12m (https://aclanthology.org/W12-2513/).[39m
[38;5;12m-   [39m[38;5;14m[1m_Star Wars_ Social Networks: The Force Awakens[0m[38;5;12m (http://evelinag.com/blog/2016/01-25-social-network-force-awakens/index.html) - Also an example of a social network analysis written in F#.[39m
[38;5;12m-   [39m[38;5;14m[1mUniversal Properties of Mythological Networks[0m[38;5;12m (https://doi.org/10.1209/0295-5075/99/28002) ([39m[38;5;14m[1mpreprint[0m[38;5;12m (https://arxiv.org/abs/1205.4324)).[39m

[38;2;255;187;0m[4mNetwork Science[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mDiscussions of what “netsci” is about and means for other scientific disciplines.[39m

[38;5;12m-   [39m[38;5;14m[1mEditing a Normal Science Journal in Social Science[0m[38;5;12m (https://journals.openedition.org/bms/595) - Reflections on the _Social Networks_ journal by its founding editor.[39m
[38;5;12m-   [39m[38;5;14m[1mThe Emergence of Network Science[0m[38;5;12m (https://www.cornell.edu/video/emergence-of-network-science) - Video documentary, featuring Steven H. Strogatz and many others.[39m
[38;5;12m-   From [39m[38;5;14m[1mAlbert-László Barabási’s review articles[0m[38;5;12m (https://barabasi.com/publications/1/review-articles):[39m
[48;5;235m[38;5;249m-   **Taming Complexity** (https://barabasi.com/f/182.pdf).[49m[39m[48;5;235m[38;5;249m   [49m[39m
[48;5;235m[38;5;249m-   **The Network Takeover** (https://barabasi.com/f/362.pdf).[49m[39m
[38;5;12m-   [39m[38;5;14m[1mThe Invasion of the Physicists[0m[38;5;12m (https://doi.org/10.1016/j.socnet.2004.06.002) - How “network _science_” came up.[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mIsolated[0m[38;5;14m[1m [0m[38;5;14m[1mSocial[0m[38;5;14m[1m [0m[38;5;14m[1mNetworkers[0m[38;5;12m [39m[38;5;12m(https://crookedtimber.org/2005/05/19/isolated-social-networkers/),[39m[38;5;12m [39m[38;5;14m[1mNetworks[0m[38;5;14m[1m [0m[38;5;14m[1mand[0m[38;5;14m[1m [0m[38;5;14m[1mNetwars[0m[38;5;12m [39m[38;5;12m(http://bactra.org/weblog/347.html)[39m[38;5;12m [39m[38;5;12mand[39m[38;5;12m [39m[38;5;14m[1mThe[0m[38;5;14m[1m [0m[38;5;14m[1mInter-Disciplinary[0m[38;5;14m[1m [0m[38;5;14m[1mPolitics[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mInterdisciplinary[0m[38;5;14m[1m [0m[38;5;14m[1mResearch[0m[38;5;14m[1m [0m[38;5;14m[1mor,[0m[38;5;14m[1m [0m[38;5;14m[1m“Hey,[0m[38;5;14m[1m [0m[38;5;14m[1mThat[0m
[38;5;14m[1mWas[0m[38;5;14m[1m [0m[38;5;14m[1mMy[0m[38;5;14m[1m [0m[38;5;14m[1mIdea[0m[38;5;14m[1m [0m[38;5;14m[1mFirst.”[0m[38;5;12m [39m[38;5;12m(https://www.cs.unm.edu/~aaron/blog/archives/2005/05/the_interdiscip.htm)[39m[38;5;12m [39m[38;5;12m-[39m[38;5;12m [39m[38;5;12mSeries[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12mblog[39m[38;5;12m [39m[38;5;12mposts[39m[38;5;12m [39m[38;5;12mthat[39m[38;5;12m [39m[38;5;12mpredate[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;12madvent[39m[38;5;12m [39m[38;5;12mof[39m[38;5;12m [39m[38;5;12m“network[39m[38;5;12m [39m[38;5;12mscience”[39m[38;5;12m [39m[38;5;12mas[39m[38;5;12m [39m[38;5;12ma[39m[38;5;12m [39m[38;5;12mbuzzword,[39m[38;5;12m [39m[38;5;12mbut[39m[38;5;12m [39m[38;5;12mthat[39m[38;5;12m [39m[38;5;12mtouch[39m[38;5;12m [39m[38;5;12mupon[39m[38;5;12m [39m[38;5;12mthe[39m[38;5;12m [39m[38;5;12msame[39m[38;5;12m [39m[38;5;12missues[39m[38;5;12m [39m[38;5;12mas[39m[38;5;12m [39m[38;5;12mthose[39m[38;5;12m [39m[38;5;12mnow[39m[38;5;12m [39m[38;5;12mbeing[39m[38;5;12m [39m
[38;5;12mdiscussed[39m[38;5;12m [39m[38;5;12munder[39m[38;5;12m [39m[38;5;12mthat[39m[38;5;12m [39m[38;5;12mheading.[39m
[38;5;12m-   [39m[38;5;14m[1mThe ‘New’ Science of Networks[0m[38;5;12m (https://www.jstor.org/stable/29737693) - Review of network science books published in 2002-2003.[39m
[38;5;12m-   [39m[38;5;14m[1mPredicting Highly Cited Papers[0m[38;5;12m (https://arxiv.org/abs/1310.8220) - Prediction of the next highly cited papers in network science.[39m
[38;5;12m-   [39m[38;5;14m[1mSocial Network and Network Science Co-Citations Across Disciplines in 1996-2013[0m[38;5;12m (https://github.com/raffaelevacca/EUSN-co-citation-networks).[39m
[38;5;12m-   [39m[38;5;14m[1mThree Hard Questions about Network Science[0m[38;5;12m (http://environmentalpolicy.ucdavis.edu/node/292).[39m
[38;5;12m-   [39m[38;5;14m[1mA Twenty-First Century Science[0m[38;5;12m (http://www.nature.com/nature/journal/v445/n7127/full/445489a.html) - Essay by Duncan J. Watts.[39m
[38;5;12m-   [39m[38;5;14m[1mWhat is Network Science?[0m[38;5;12m (http://journals.cambridge.org/repo_A88Sa8AHdt4SoI) - First editorial of the recent _Network Science_ journal.[39m

[38;2;255;187;0m[4mSmall Worlds[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mLinks focused on (analogues to) [39m[38;5;14m[1mStanley Milgram’s small-world experiment[0m[38;5;12m (https://en.wikipedia.org/wiki/Small-world_experiment).[39m

[38;5;12m-   [39m[38;5;14m[1mThe Erdös Number Project[0m[38;5;12m (http://wwwp.oakland.edu/enp/) - Research project on the collaborative ties and network distance between mathematicians.[39m
[38;5;12m-   [39m[38;5;14m[1mHow Small is the World, Really?[0m[38;5;12m (https://medium.com/@duncanjwatts/how-small-is-the-world-really-736fa21808ba#.kyr90lhyo) - Discussion of “_x_ degrees of separation” small-world experiments.[39m
[38;5;12m-   [39m[38;5;14m[1mThe Oracle of Bacon[0m[38;5;12m (https://oracleofbacon.org/) - Based on an [39m[38;5;14m[1monline game[0m[38;5;12m (https://en.wikipedia.org/wiki/Six_Degrees_of_Kevin_Bacon) that resulted in a [39m[38;5;14m[1mcharity[0m[38;5;12m (http://www.sixdegrees.org/).[39m
[38;5;12m-   [39m[38;5;14m[1mPanel: Six Degrees of Separation[0m[38;5;12m (https://www.cornell.edu/video/six-degrees-of-separation-panel) - Video of a conference at Cornell University, featuring Duncan J. Watts, Steven H. Strogatz, Jon Kleinberg and other speakers.[39m
[38;5;12m-   [39m[38;5;14m[1mPatterns in the Ivy: The Small World of Metal[0m[38;5;12m (http://badhessian.org/2013/09/patterns-in-the-ivy-the-small-world-of-metal/) - Example of a two-mode network analysis based on metal artists and bands.[39m
[38;5;12m-   [39m[38;5;14m[1mSix Degrees of Francis Bacon[0m[38;5;12m (http://sixdegreesoffrancisbacon.com/) - Interactive visualization of a well-documented early modern historical network.[39m
[38;5;12m-   [39m[38;5;14m[1mSix Degrees of Separation[0m[38;5;12m (https://en.wikipedia.org/wiki/Six_degrees_of_separation) - Wikipedia English entry.[39m

[38;2;255;187;0m[4mTwo-Mode Networks[0m

[38;5;11m[1m▐[0m[38;5;12m [39m[38;5;12mAlso known as bipartite graphs.[39m

[38;5;12m-   [39m[38;5;14m[1mL’analyse des graphes bipartis[0m[38;5;12m (https://shs.hal.science/halshs-00794976), in French (2013).[39m
[38;5;12m-[39m[38;5;12m   [39m[38;5;14m[1mBasic[0m[38;5;14m[1m [0m[38;5;14m[1mNotions[0m[38;5;14m[1m [0m[38;5;14m[1mfor[0m[38;5;14m[1m [0m[38;5;14m[1mthe[0m[38;5;14m[1m [0m[38;5;14m[1mAnalysis[0m[38;5;14m[1m [0m[38;5;14m[1mof[0m[38;5;14m[1m [0m[38;5;14m[1mLarge[0m[38;5;14m[1m [0m[38;5;14m[1mTwo-mode[0m[38;5;14m[1m [0m[38;5;14m[1mNetworks[0m[38;5;12m [39m[38;5;12m(https://doi.org/10.1016/j.socnet.2007.04.006)[39m[38;5;12m  [39m[38;5;12m([39m[38;5;14m[1mpreprint[0m[38;5;12m [39m[38;5;12m(https://www-complexnetworks.lip6.fr/~latapy/Publis/socnet07.pdf),[39m[38;5;12m [39m[38;5;14m[1mrelated[0m[38;5;14m[1m [0m[38;5;14m[1mcode[0m[38;5;12m [39m
[38;5;12m(https://www-complexnetworks.lip6.fr/~latapy/Bip/);[39m[38;5;12m [39m[38;5;12m_Social[39m[38;5;12m [39m[38;5;12mNetworks_,[39m[38;5;12m [39m[38;5;12m2008).[39m
[38;5;12m-   [39m[38;5;14m[1mFitting Large Signed Two-mode Blockmodels: Problems and Prospects[0m[38;5;12m (http://patrickdoreian.com/wp-content/uploads/2017/12/large-signed-2mode-networks_UNGA.pdf).[39m
[38;5;12m-   [39m[38;5;14m[1mGeneralized Blockmodeling of Two-mode Network Data[0m[38;5;12m (https://doi.org/10.1016/j.socnet.2004.01.002) ([39m[38;5;14m[1mpreprint[0m[38;5;12m (http://vlado.fmf.uni-lj.si/pub/networks/doc/preprint/TwoMode.pdf)).[39m
[38;5;12m-   [39m[38;5;14m[1mGeneralized Two-Mode Cores[0m[38;5;12m (https://doi.org/10.1016/j.socnet.2015.04.001).[39m
[38;5;12m-   [39m[38;5;14m[1mPartitioning Signed Two-Mode Networks[0m[38;5;12m (http://patrickdoreian.com/wp-content/uploads/2017/12/partitioning-signed-social-networks.pdf).[39m
[38;5;12m-   [39m[38;5;14m[1mWorking with Bipartite/Affiliation Network Data in R[0m[38;5;12m (https://solomonmessing.wordpress.com/2012/09/30/working-with-bipartiteaffiliation-network-data-in-r/) (2012).[39m

[48;5;12m[38;5;11m⟡[49m[39m[38;5;12m [39m[48;2;30;30;40m[38;5;13m[3m [0m

[38;2;255;187;0m[4mLicense[0m

[38;5;14m[1m![0m[38;5;12mCC0[39m[38;5;14m[1m (http://i.creativecommons.org/p/zero/1.0/88x31.png)[0m[38;5;12m (http://creativecommons.org/publicdomain/zero/1.0/)[39m

[38;5;12mTo the extent possible under law, the authors of this list – by chronological order: [39m[38;5;14m[1mFrançois Briatte[0m[38;5;12m (https://f.briatte.org/), [39m
[38;5;14m[1mIan McCulloh[0m[38;5;12m (https://www.linkedin.com/in/mcculloh), [39m
[38;5;14m[1mAditya Khanna[0m[38;5;12m (https://vivo.brown.edu/display/akhann16), [39m
[38;5;14m[1mManlio De Domenico[0m[38;5;12m (https://manliodedomenico.com/), [39m
[38;5;12mPatrick Kaminski, [39m
[38;5;14m[1mEricka Menchen-Trevino[0m[38;5;12m (https://erickaakcire.github.io/), [39m
[38;5;14m[1mTam-Kien Duong[0m[38;5;12m (https://github.com/taniki), [39m
[38;5;14m[1mJeremy Foote[0m[38;5;12m (https://github.com/jdfoote), [39m
[38;5;14m[1mCatherine Cramer[0m[38;5;12m (http://nysci.org/nysci_people/catherine-cramer/), [39m
[38;5;14m[1mAndrej Mrvar[0m[38;5;12m (http://mrvar.fdv.uni-lj.si/), [39m
[38;5;14m[1mPatrick Doreian[0m[38;5;12m (http://patrickdoreian.com/), [39m
[38;5;14m[1mVladimir Batagelj[0m[38;5;12m (http://vladowiki.fmf.uni-lj.si/doku.php?id=vlado), [39m
[38;5;12mEric C. Jones, [39m
[38;5;12mAlden S. Klovdahl, [39m
[38;5;14m[1mJames Fairbanks[0m[38;5;12m (http://www.jpfairbanks.net/), [39m
[38;5;14m[1mDanielle Varda[0m[38;5;12m (http://www.ucdenver.edu/academics/colleges/SPA/FacultyStaff/Faculty/Pages/DanielleVarda.aspx), [39m
[38;5;14m[1mAndrew Pitts[0m[38;5;12m (https://twitter.com/andpitts), [39m
[38;5;14m[1mRoman Bartusiak[0m[38;5;12m (https://github.com/riomus), [39m
[38;5;14m[1mKoustuv Sinha[0m[38;5;12m (https://koustuvsinha.com/), [39m
[38;5;14m[1mMohsen Mosleh[0m[38;5;12m (http://mohsenmosleh.com/), [39m
[38;5;14m[1mSandro Sousa[0m[38;5;12m (https://github.com/sandrofsousa), [39m
[38;5;14m[1mJean-Baptiste Pressac[0m[38;5;12m (https://github.com/JBPressac), [39m
[38;5;14m[1mPatrick Connolly[0m[38;5;12m (https://github.com/patcon), [39m
[38;5;14m[1mHristo Georgiev[0m[38;5;12m (https://hristog.github.io/), [39m
[38;5;14m[1mTiago Azevedo[0m[38;5;12m (http://github.com/tjiagoM), [39m
[38;5;14m[1mLuis Miguel Montilla[0m[38;5;12m (https://twitter.com/luismmontilla), [39m
[38;5;14m[1mKeith Turner[0m[38;5;12m (https://github.com/keith-turner), [39m
[38;5;14m[1mSandra Becker[0m[38;5;12m (https://github.com/sandravizmad), [39m
[38;5;14m[1mBenedek Rozemberczki[0m[38;5;12m (https://github.com/benedekrozemberczki), [39m
[38;5;14m[1mXing Han Lu[0m[38;5;12m (https://xinghanlu.com/), [39m
[38;5;14m[1mVincent Labatut[0m[38;5;12m (https://cv.hal.science/vlabatut), [39m
[38;5;14m[1mDavid Schoch[0m[38;5;12m (https://www.mr.schochastics.net/), [39m
[38;5;14m[1mJaewon Chung[0m[38;5;12m (https://github.com/j1c), [39m
[38;5;14m[1mBenedek Rozemberczki[0m[38;5;12m (https://github.com/benedekrozemberczki), [39m
[38;5;14m[1mAlex Loftus[0m[38;5;12m (https://github.com/loftusa), [39m
[38;5;14m[1mArun[0m[38;5;12m (https://github.com/arunppsg), [39m
[38;5;14m[1mFilippo Menczer[0m[38;5;12m (https://cnets.indiana.edu/fil/), [39m
[38;5;14m[1mMarc Schiller[0m[38;5;12m (https://github.com/m4rcs), [39m
[38;5;14m[1mTanguy Fardet[0m[38;5;12m (https://tfardet.srht.site/), [39m
[38;5;14m[1mBernhard Bieri[0m[38;5;12m (https://bernhardbieri.ch/), [39m
[38;5;14m[1mRémy Cazabet[0m[38;5;12m (https://github.com/Yquetzal), [39m
[38;5;14m[1mJeremy Gelb[0m[38;5;12m (https://github.com/JeremyGelb) and [39m
[38;5;14m[1mMathieu Bastian[0m[38;5;12m (https://github.com/mbastian) - [39m
[38;5;12mhave waived all copyright and related or neighboring rights to this work.[39m

[38;5;12mThanks to [39m[38;5;14m[1mRobert J. Ackland[0m[38;5;12m (https://github.com/rjackland), [39m
[38;5;14m[1mLaurent Beauguitte[0m[38;5;12m (https://cv.hal.science/laurent-beauguitte), [39m
[38;5;14m[1mPatrick Connolly[0m[38;5;12m (http://nodescription.net/), [39m
[38;5;14m[1mMichael Dorman[0m[38;5;12m (https://geobgu.xyz/), [39m
[38;5;14m[1mColin Fay[0m[38;5;12m (https://colinfay.me/), [39m
[38;5;14m[1mMarc Flandreau[0m[38;5;12m (https://www.history.upenn.edu/people/faculty/marc-flandreau), [39m
[38;5;14m[1mEiko Fried[0m[38;5;12m (https://eiko-fried.com/), [39m
[38;5;14m[1mChristopher Steven Marcum[0m[38;5;12m (https://cmarcum.github.io/), [39m
[38;5;14m[1mWouter de Nooy[0m[38;5;12m (https://www.uva.nl/profiel/n/o/w.denooy/w.denooy.html), [39m
[38;5;14m[1mKatya Ognyanova[0m[38;5;12m (https://kateto.net/), [39m
[38;5;14m[1mRahul Padhy[0m[38;5;12m (https://github.com/rahul-38-26-0111-0003), [39m
[38;5;14m[1mCamille Roth[0m[38;5;12m (https://camilleroth.github.io/), [39m
[38;5;14m[1mClaude S. Fischer[0m[38;5;12m (https://sociology.berkeley.edu/faculty/claude-s-fischer), [39m
[38;5;14m[1mCosma Shalizi[0m[38;5;12m (https://www.stat.cmu.edu/~cshalizi/), [39m
[38;5;14m[1mTom A.B. Snijders[0m[38;5;12m (https://www.stats.ox.ac.uk/~snijders/), [39m
[38;5;14m[1mChris Watson[0m[38;5;12m (https://profiles.bu.edu/Christopher.Watson) and [39m[38;5;14m[1mTim A. Wheeler[0m[38;5;12m (https://github.com/tawheeler), who helped locating some of the awesome resources featured in this list.[39m
