Awesome Network Analysis !Awesome (https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg) (https://github.com/sindresorhus/awesome) !DOI 
                                                        (https://zenodo.org/badge/DOI/10.5281/zenodo.7869481.svg) (https://doi.org/10.5281/zenodo.7869481)


An awesome list (https://github.com/sindresorhus/awesome) of resources to construct, analyze and visualize network data.

Inspired by Awesome Deep Learning (https://github.com/ChristosChristofidis/awesome-deep-learning), Awesome Math (https://github.com/rossant/awesome-math) and others. Started in 2016, and irregularly updated 
since then.

!Adamic and Glance’s network of political blogs, 2004. (https://raw.githubusercontent.com/briatte/awesome-network-analysis/master/illustration.png) (http://www.maths.tcd.ie/~mnl/store/AdamicGlance2004a.pdf)

▐ Network of U.S. political blogs by Adamic and Glance (2004) (https://dl.acm.org/citation.cfm?doid=1134271.1134277) (preprint (http://www.maths.tcd.ie/~mnl/store/AdamicGlance2004a.pdf)).

__Note:__ searching for ‘@’ will return all Twitter accounts listed on this page.

Contents

- __Books (#books)__
  - Classics (#classics)
  - Dissemination (#dissemination)
  - General Overviews (#general-overviews)
  - Graph Theory (#graph-theory)
  - Method-specific (#method-specific)
  - Software-specific (#software-specific)
  - Topic-specific (#topic-specific)
- __Conferences (#conferences)__
- __Courses (#courses)__
- __Datasets (#datasets)__
- __Journals (#journals)__
- __Professional groups (#professional-groups)__
  - Research Groups (USA) (#research-groups-usa)
  - Research Groups (Other) (#research-groups-other)
- __Review Articles (#review-articles)__
  - Archeological and Historical Networks (#archeological-and-historical-networks)
  - Bibliographic, Citation and Semantic Networks (#bibliographic-citation-and-semantic-networks)
  - Biological, Ecological and Disease Networks (#biological-ecological-and-disease-networks)
  - Complex Networks (#complex-networks)
  - Ethics of Network Analysis (#ethics-of-network-analysis)
  - Network Modeling (#network-modeling)
  - Network Visualization (#network-visualization)
  - Social, Economic and Political Networks (#social-economic-and-political-networks)
- __Selected Papers (#selected-papers)__
- __Software (#software)__
  - Algorithms (#algorithms)
  - C / C++ (#c--c)
  - Java (#java)  
  - JavaScript (#javascript)
  - Julia (#julia)
  - MATLAB (#matlab)
  - Python (#python)
  - R (#r)
  - Stata (#stata)
  - Syntaxes (#syntaxes)
  - Tutorials (#tutorials)
- __Varia (#varia)__
  - Blog Series (#blog-series)
  - Fictional Networks (#fictional-networks)
  - Network Science (#network-science)
  - Small Worlds (#small-worlds)
  - Two-Mode Networks (#two-mode-networks)
- __Contributing Guidelines (CONTRIBUTING.md)__
- __License (#license)__

Books

Classics

-   _A Novitiate in a Period of Change: An Experimental and Case Study of Social Relationships (https://f.briatte.org/temp/sampson1968.pdf)_, by Samuel F. Sampson (unpublished PhD dissertation, 1968).
-   _Social Network Analysis (https://uk.sagepub.com/en-gb/eur/social-network-analysis/book249668)_, by John Scott (2017).
-   _Social Network Analysis. Methods and Applications (http://www.cambridge.org/ar/academic/subjects/sociology/sociology-general-interest/social-network-analysis-methods-and-applications)_, by Stanley Wasserman
and Katherine Faust (1994).
-   _The Structure and Dynamics of Networks (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).

Dissemination

▐ Accessible introductions aimed at non-technical audiences.

-   _Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives (http://www.connectedthebook.com/)_, by Nicholas A. Christakis and James H. Fowler (2009).
-   _Linked: The New Science of Networks (https://barabasi.com/book/linked)_, by Albert-László Barabási (2002).
-   _Network Literacy: Essential Concepts and Core ideas (https://sites.google.com/a/binghamton.edu/netscied/teaching-learning/network-concepts)_, by the NetSciEd team (c. 2016) - Available in several languages 
(paper (https://academic.oup.com/comnet/article-abstract/4/3/457/1745356)).
-   _Nexus. Small Worlds and the Groundbreaking Theory of Networks (http://books.wwnorton.com/books/Nexus/)_, by Mark Buchanan (2003).
-   _Six Degrees: The Science of a Connected Age (http://books.wwnorton.com/books/detail.aspx?ID=7599)_, by Duncan J. Watts (2003).

General Overviews

-   _A First Course in Network Science (https://www.cambridge.org/us/academic/subjects/physics/statistical-physics/first-course-network-science)_, by Filippo Menczer, Santo Fortunato, and Clayton A. Davis - 
Tutorials, datasets and other resouces on GitHub (https://github.com/CambridgeUniversityPress/FirstCourseNetworkScience) (2020).
-   _Encyclopedia of Social Networks (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).
-   _Encyclopedia of Social Network Analysis and Mining (https://www.springer.com/us/book/9781461461692)_, edited by Reda Alhajj and Jon Rokne (2014).
-   _L'analyse de réseau en sciences sociales. Petit guide pratique (https://hal.science/hal-04052709)_, by Laurent Beauguitte, in French (2023). Readable online 
(https://beauguitte.github.io/analyse-de-reseau-en-shs/).
-   _Network Science (http://networksciencebook.com)_, by Albert-László Barabási - Full book online (2016).
-   _Network Science (http://www.nap.edu/catalog/11516/network-science)_, by the U.S. National Research Council - Full book online (2005).
-   _Network Science: Theory and Practice (http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1118211014.html)_, by Ted G. Lewis (2011).
-   _Networks. An Introduction (http://www-personal.umich.edu/~mejn/networks-an-introduction/)_, by Mark E.J. Newman (2010).
-   _Networks, Crowds, and Markets: Reasoning About a Highly Connected World (https://www.cs.cornell.edu/home/kleinber/networks-book/)_, by David Easley and Jon Kleinberg - Full pre-publication draft (review 
(http://bactra.org/reviews/networks-crowds-markets.html); 2010).
-   _Réseaux sociaux et structures relationnelles (https://www.puf.com/content/R%C3%A9seaux_sociaux_et_structures_relationnelles)_, by Emmanuel Lazega, in French (2014).
-   _The SAGE Handbook of Social Network Analysis (https://methods.sagepub.com/book/the-sage-handbook-of-social-network-analysis)_, edited by John Scott and Peter J. Carrington (2011).
-   _Sociologie des réseaux sociaux (http://pierremerckle.fr/2011/02/sociologie-des-reseaux-sociaux/)_, by Pierre Mercklé, in French (2011).
-   _Social and Economic Networks (https://press.princeton.edu/books/paperback/9780691148205/social-and-economic-networks)_, by Matthew O. Jackson (2008).
-   _Social Network Analysis with Applications (https://www.wiley.com/en-gb/Social+Network+Analysis+with+Applications-p-9781118169476)_, by Ian McCulloh, Helen Armstrong and Anthony Johnson (2013).
-   _Social Networks: An Introduction (https://www.routledge.com/products/9780415458030)_, by Jeroen Bruggeman (related material (https://sites.google.com/site/introsocnet/); 2008).
-   _Studying Social Networks. A Guide to Empirical Research (http://press.uchicago.edu/ucp/books/book/distributed/S/bo15475096.html)_, by Marina Hennig _et al._ (2013).
-   _Understanding Social Networks. Theories, Concepts, and Findings (https://global.oup.com/academic/product/understanding-social-networks-9780195379471)_, by Charles Kadushin (2012).

Graph Theory

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

Method-specific

-   _Bayesian Networks in R with Applications in Systems Biology (https://www.springer.com/fr/book/9781461464457)_, by Radhakrishnan Nagarajan, Marco Scutari and Sophie Lèbre (website 
(http://www.bnlearn.com/book-useR/); 2013).
-   _Bayesian Networks with Examples in R (http://www.crcpress.com/product/isbn/9781482225587)_, by Marco Scutari and Jean-Baptiste Denis (website (http://www.bnlearn.com/book-crc/); 2014).
-   _The Book of Trees. Visualizing Branches of Knowledge (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).
-   _Exponential Random Graph Models for Social Networks (http://www.cambridge.org/9780521193566)_, edited by Dean Lusher, Johan Koskinen and Garry Robins (2013).
-   _Generalized Blockmodeling. Structural Analysis in the Social Sciences (http://www.cambridge.org/de/academic/subjects/sociology/sociology-general-interest/generalized-blockmodeling)_, by Patrick Doreian, 
Vladimir Batagelj and Anuška Ferligoj (2004).
-   _Handbook of Graph Drawing and Visualization (https://www.crcpress.com/Handbook-of-Graph-Drawing-and-Visualization/Tamassia/9781584884125)_, edited by Roberto Tamassia (chapter proofs 
(https://cs.brown.edu/~rt/gdhandbook/); 2013).
-   _Handbuch Historische Netzwerkforschung. Grundlagen und Anwendungen (http://www.lit-verlag.de/isbn/3-643-11705-2)_, edited by Marten Düring _et al._, in German (2016).
-   _An Introduction to Exponential Random Graph Modeling (https://uk.sagepub.com/en-gb/eur/an-introduction-to-exponential-random-graph-modeling/book237737)_, by Jenine K. Harris (2014).
-   _Knoten und Kanten. Soziale Netzwerkanalyse in Wirtschafts- und Migrationsforschung (http://www.transcript-verlag.de/978-3-8376-1311-7/knoten-und-kanten)_, edited by Markus Gamper and Linda Reschke, in 
German (2010).
-   _Knoten und Kanten 2.0. Soziale Netzwerkanalyse in Medienforschung und Kulturanthropologie (http://www.transcript-verlag.de/978-3-8376-1927-0/knoten-und-kanten-2.0)_, edited by Markus Gamper, Linda Reschke 
and Michael Schönhuth, in German (2012).
-   _Knoten und Kanten III. Soziale Netzwerkanalyse in Geschichts- und Politikforschung ()_, edited by Markus Gamper, Linda Reschke and Marten Düring, in German and English (2015).
-   _Inferential Network Analysis (https://www.cambridge.org/highereducation/books/inferential-network-analysis/A7797D36A24647AA1F900CE7EF694C7E)_, by Skyler J. Cranmer, Bruce A. Desmarais and Jason Morgan 
(2020).
-   _Multilayer Social Networks (http://multilayer.it.uu.se/book.html)_, by Mark E. Dickison, Matteo Magnani and Luca Rossi (2016).
-   _Multilevel Network Analysis for the Social Sciences (https://www.springer.com/fr/book/9783319245188)_, edited by Emmanuel Lazega and Tom A.B. Snijders (2016).
-   _Multimodal Political Networks (https://www.cambridge.org/core/books/multimodal-political-networks/43EE8C192A1B0DCD65B4D9B9A7842128)_, by David Knoke, Mario Diani, James Hollway and Dimitri Christopulos 
(2021).
-   _Multivariate Network Visualization (https://www.springer.com/us/book/9783319067926)_, edited by Andreas Kerren, Helen C. Purchase and Matthew O. Ward (2014).
-   _Network Analysis in Archaeology (https://global.oup.com/academic/product/network-analysis-in-archaeology-9780199697090)_, edited by Carl Knappett (2013; review in French (https://doi.org/10.4000/nda.2383)).
-   _Network Analysis: Methodological Foundations (https://www.springer.com/fr/book/9783540249795)_, edited by Ulrik Brandes and Thomas Erlebach - Covers network centrality, clustering, blockmodels, spatial 
networks and more (2005).
-   _Political Networks. The Structural Perspective (http://www.cambridge.org/ar/academic/subjects/sociology/political-sociology/political-networks-structural-perspective)_, by David Knoke (1994).
-   _Social Network Analysis for Ego-Nets: Social Network Analysis for Actor-Centred Networks (https://uk.sagepub.com/en-gb/eur/social-network-analysis-for-ego-nets/book240391)_, by Nick Crossley _et al._ 
(2015).
-   _Understanding Large Temporal Networks and Spatial Networks 
(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)_, by Vladimir Batagelj _et al._
(2014).

Software-specific

-   _Algorithmic Graph Theory and Sage (https://code.google.com/archive/p/graphbook/)_, by David Joyner, Minh Van Nguyen, and David Phillips - Full book online (2013).
-   _Analyzing Social Networks (https://sites.google.com/site/analyzingsocialnetworks/)_ (using UCINET), by Stephen P. Borgatti, Martin G. Everett and Jeffrey C. Johnson (2013).
-   _A User’s Guide to Network Analysis in R (https://www.springer.com/us/book/9783319238821)_, by Douglas A. Luke (2015).
-   _Data Science and Complex Networks: Real Case Studies with Python (https://global.oup.com/academic/product/data-science-and-complex-networks-9780199639601)_, by Guido Caldarelli and Alessandro Chessa (2016).
-   _Exploratory Social Network Analysis with Pajek (http://www.cambridge.org/us/academic/subjects/sociology/research-methods-sociology-and-criminology/exploratory-social-network-analysis-pajek-2nd-edition)_, by
Wouter de Nooy, Andrej Mrvar and Vladimir Batagelj (2011; also in Japanese (http://www.tdupress.jp/books/isbn978-4-501-54710-3.html) and in Chinese (http://product.dangdang.com/22927985.html)).
-   _Gephi Cookbook (https://www.packtpub.com/big-data-and-business-intelligence/gephi-cookbook)_ (2015).
-   _Graph Drawing Software (http://link.springer.com/book/10.1007/978-3-642-18638-7)_ (covering many programs), edited by Michael Jünger and Petra Mutzel (2004).
-   _Introduction to Social Network Methods (http://faculty.ucr.edu/~hanneman/nettext/)_ (using mostly UCINET), by Robert A. Hanneman and Mark Riddle - Full book online (2001).
-   _Mastering Gephi Network Visualization (https://www.packtpub.com/networking-and-servers/mastering-gephi-network-visualization)_, by Ken Cherven (2015).
-   _Network Analysis with R/igraph_, by Gabor Csárdi, Thomas Nepusz and Eduardo M. Airoldi (in preparation).
-   _Network Analysis with Python/igraph_, by Thomas Nepusz, Gabor Csárdi and Eduardo M. Airoldi (in preparation).
-   _Network Graph Analysis and Visualization with Gephi (https://www.packtpub.com/big-data-and-business-intelligence/network-graph-analysis-and-visualization-gephi)_, by Ken Cherven (2013).
-   _Social Network Analysis for Startups. Finding Connections on the Social Web (http://shop.oreilly.com/product/0636920020424.do)_ (using Python), by Maksim Tsvetovat and Alexander Kouznetsov (code 
(https://github.com/maksim2042/SNABook); 2011).
-   _Statistical Analysis of Network Data with R (http://www.springer.com/us/book/9781493909827)_, by Eric D. Kolaczyk and Gabor Csárdi (R package (https://github.com/kolaczyk/sand); 2014).

Topic-specific

-   _Communities and Networks: Using Social Network Analysis to Rethink Urban and Community Studies (http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0745654207.html)_, by Katherine Giuffre (2013).
-   _Comparing Policy Networks. Labor Politics in the U.S., Germany, and Japan 
(http://www.cambridge.org/ar/academic/subjects/politics-international-relations/comparative-politics/comparing-policy-networks-labor-politics-us-germany-and-japan)_, by David Knoke _et al._ (1996).
-   _Conducting Personal Network Research: A Practical Guide (https://www.routledge.com/Conducting-Personal-Network-Research-A-Practical-Guide/McCarty-Lubbers-Vacca-Molina/p/book/9781462538386)_, by Christopher 
McCarty _et al._ (2019).
- _**Egocentric Network Analysis with R** (https://raffaelevacca.github.io/egocentric-r-book/)_ - An online book/tutorial that covers a lot of similar ground.
-   _The Connected Past. Challenges to Network Studies in Archaeology and History (https://global.oup.com/academic/product/the-connected-past-9780198748519)_ edited by Tom Brughmans, Anna Collar and Fiona Coward
(2016; companion website (http://connectedpast.net/)).
-   _The Development of Social Network Analysis: A Study in the Sociology of Science (http://moreno.ss.uci.edu/)_, by Linton C. Freeman, in English and several other languages (2004; follow-up paper, 2011 
(http://moreno.ss.uci.edu/91.pdf)).
-   _Dynamical Networks in Psychology: More Than A Pretty Picture? (https://www.researchgate.net/publication/308874807_Dynamical_networks_in_psychology_More_than_a_pretty_picture)_, by Laura Bringmann (2016; PhD
dissertation).
-   _Dynamical Processes on Complex Networks (http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780521879507)_, by Alain Barrat, Marc Barthélemy and Alessandro Vespignani (2008).
-   _Economic Networks: Theory and Computation (https://networks.quantecon.org/)_, by John Stachurski and Thomas J. Sargent (2022).
-   _Fundamentals of Brain Network Analysis (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).
-   _Inside Criminal Networks (https://www.springer.com/us/book/9780387095257)_, by Carlo Morselli (2009).
-   _Neighbor Networks. Competitive Advantage Local and Personal (https://global.oup.com/academic/product/neighbor-networks-9780199570690)_, by Ronald S. Burt (2010).
-   _Network Analysis Literacy. A Practical Approach to the Analysis of Networks (https://www.springer.com/us/book/9783709107409)_, by Katharina A. Zweig (2016).
-   _Networks in Social Policy Problems (http://www.cambridge.org/mx/academic/subjects/physics/statistical-physics/networks-social-policy-problems)_, edited by Balázs Vedres and Marco Scotti (2012).
-   _The Oxford Handbook of the Economics of Networks (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).
-   _Policy Debates as Dynamic Networks: German Pension Politics and Privatization Discourse 
(http://www.campus.de/buecher-campus-verlag/wissenschaft/politikwissenschaft/policy_debates_as_dynamic_networks-10287.html)_, by Philip Leifeld (2016).
-   _Small Worlds: The Dynamics of Networks between Order and Randomness (http://press.princeton.edu/titles/6768.html)_, by Duncan J. Watts (2003).
-   _Theories of Communication Networks (https://global.oup.com/academic/product/theories-of-communication-networks-9780195160376)_, by Peter Monge and Nosh Contractor (2003).
-   _The Chessboard and the Web. Strategies of Connection in a Networked World (http://yalebooks.yale.edu/book/9780300215649/chessboard-and-web)_, by Anne-Marie Slaughter (2017); applies network science to world
politics.
-   _Towards Relational Sociology (https://www.routledge.com/products/9780415480147)_, by Nick Crossley (2011).
-   _Die Verbundenheit der Dinge. Eine Kulturgeschichte der Netze und Netzwerke The Connectedness of Things. A Cultural History of Nets and Networks  
(http://www.kulturverlag-kadmos.de/buch/die-verbundenheit-der-dinge.html)_, by Sebastian Gießmann, in German (2014).
-   _Verdeckte soziale Netzwerke im Nationalsozialismus. Die Entstehung und Arbeitsweise von Berliner Hilfsnetzwerken für verfolgte Juden Hidden Social Networks in National Socialism: The origins and working 
methods of Berlin assistance networks for persecuted Jews  (http://www.degruyter.com/view/product/432196)_, by Marten Düring, in German (2015; related publications 
(http://martenduering.com/research/covert-networks-during-the-holocaust/) and video presentation in English (https://www.youtube.com/watch?v=SlQ7stSU-9w)).
-   _Visualisierung komplexer Strukturen. Grundlagen der Darstellung mehrdimensionaler Netzwerke 
(http://www.campus.de/buecher-campus-verlag/wissenschaft/soziologie/visualisierung_komplexer_strukturen-2467.html)_, by Lothar Krempel, in German.

Conferences

▐ Recurring conferences on network analysis.

-   ASONAM - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (http://asonam.cpsc.ucalgary.ca/).
-   **SNAA - Workshop on Social Network Analysis in Applications** (http://snaa.pwr.edu.pl/).
-   CNDay - Cambridge Networks Day (http://www.cnn.group.cam.ac.uk/cambridge-networks-day) - Convened by the Cambridge Networks Network.
-   CompleNet - International Workshop on Complex Networks (http://complenet.org/).
-   EUSN - European Conference on Social Networks (http://eusn.org/).
-   GD - International Symposium on Graph Drawing and Network Visualization (http://www.graphdrawing.org/symposia.html).
-   PolNet - Annual Political Networks Workshops and Conference (http://conference.polinetworks.org/) - Organized by the APSA Organized Section on Political Networks (PolNet).
-   **Videos from the Political Networks 2009 Conference** (https://vimeo.com/user2690333).
-   NetSci - International School and Conference on Social Networks (http://www.netscisociety.net/) - Organized by the Network Science Society (NetSci).
-   **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.                                                                                                                                                                                                                   
-   Sunbelt - Social Networks Conference of the International Network for Social Network Analysis (http://www.insna.org/archives.html) - Organized by the International Network for Social Network Analysis 
(INSNA).

Courses

-   Complex Networks (http://cazabetremy.fr/Teaching/ComplexNetworks.html), by Rémy Cazabet (University Lyon 1 and ENS Lyon, 2022).
-   **Network Science CheatSheets** (https://github.com/Yquetzal/NetworkScience_CheatSheets).
-   Complex Networks (https://www.uvm.edu/~pdodds/teaching/courses/2016-01UVM-303/), by Peter Sheridan Dodds (University of Vermont, 2016; Twitter: @networksvox (https://twitter.com/networksvox)).
-   **Tarot Cards for Principles of Complex Systems and Complex Networks** (https://www.uvm.edu/~pdodds/teaching/courses/2016-01UVM-303/tarotcards/).
-   Graph Theory and Applications (http://www.hamilton.ie/ollie/Downloads/Graph.pdf), by Paul Van Dooren - Full lecture slides (Hamilton Institute, Dublin, 2009).
-   Graph Theory (Mathematics) (http://www.personal.psu.edu/cxg286/Math485.pdf), by Christopher Griffin - Full lecture notes (Penn State University, 2012).
-   Graphs and Networks (https://sites.google.com/a/yale.edu/462-562-graphs-and-networks/), by Dan Spielman (Yale University, 2013).
-   Network Analysis and Modeling (Computer Science) (https://aaronclauset.github.io/courses/5352/), by Aaron Clauset - Full lecture slides and readings (University of Colorado, 2022).
-   Networks, Complexity and Its Applications (Media Arts and Sciences) (http://ocw.mit.edu/courses/media-arts-and-sciences/mas-961-networks-complexity-and-its-applications-spring-2011/), by Cesar Hidalgo (MIT, 
2011).
-   Networks, Crowds and Markets (https://www.edx.org/course/networks-crowds-markets-cornellx-info2040x-2), by David Easley, Jon Kleinberg and Eva Tardos (presentation 
(https://www.cornell.edu/video/cornellx-networks-crowds-and-markets); Cornell University via edX, 2016).
-   Networks (Economics) (https://ocw.mit.edu/courses/economics/14-15j-networks-spring-2018/), by Mardavij Roozbehani and Evan Sadler (MIT, 2018).
-   **Networks (Economics)** (https://hdl.handle.net/1721.1/119628), by Daron Acemoglu and Asu Ozdaglar (MIT, 2009).
-   Network Science (Computer Science) (http://www.cc.gatech.edu/~dovrolis/Courses/NetSci/), by Constantine Dovrolis - Mostly open access readings (Georgia Tech, 2015).

-   Political Networks: Methods and Applications (http://vanity.dss.ucdavis.edu/~maoz/networks/Spring%202011/pol279-11.htm), by Zeev Maoz (University of California in Davis, 2012).
-   Social and Economic Networks: Models and Analysis (https://www.coursera.org/course/networksonline), by Matthew O. Jackson (Stanford University via Coursera, 2015).
-   Social Network Analysis (https://www.coursera.org/course/sna), by Lada Adamic (University of Michigan via Coursera, not yet run).
-   Social Network Analysis (http://www.mjdenny.com/workshops/SN_Theory_I.pdf) and Intermediate Social Network Theory (http://www.mjdenny.com/workshops/Relational_Theory_Workshop.pdf), by Matthew J. Denny - 
Workshop notes and slides (2014–5).
-   Social Network Analysis with Pajek (http://mrvar.fdv.uni-lj.si/sola/info4/), by Andrej Mrvar (University of Ljubljana, 2016).
-   Social Networks (http://dennisfeehan.org/teaching/201701_demog260.html), by Dennis M. Feehan (University of Berkeley, 2017).
-   The Structure of Information Networks (https://www.cs.cornell.edu/Courses/cs6850/2008fa/), by Jon Kleinberg - Links to many diverse readings (Cornell University, 2008).

Datasets

-   Animal Social Network Repository (https://bansallab.github.io/asnr/) - Large “multi-species repository of social networks (https://doi.org/10.1038/s41597-019-0056-z).”
-   Bayesian Network Repository (http://www.bnlearn.com/bnrepository/).
-   Bill Cosponsorship Networks in European Parliaments (https://github.com/briatte/parlnet) - Legislative cosponsorship networks, in R format.
-   Colorado Index of Complex Networks (ICON) (https://icon.colorado.edu/) - Large collection of networks described and indexed by Aaron Clauset’s research group.
-   Connectome (http://awesome.cs.jhu.edu/graph-services/download/) - Comprehensive maps of neural connections.
-   Enron Email Dataset (https://www.cs.cmu.edu/~enron/).
-   Eric D. Kolaczyk’s Network Datasets (http://math.bu.edu/people/kolaczyk/datasets.html).
-   Gephi Datasets (https://github.com/gephi/gephi/wiki/Datasets).
-   Hetionet: an integrative network of disease (https://github.com/hetio/hetionet) - A complex biological network, available in multiple formats, including JSON and Neo4j (https://neo4j.het.io/browser/).
-   igraphdata (https://CRAN.R-project.org/package=igraphdata) - R data-centric package.
-   Interaction Web Database (http://www.ecologia.ib.usp.br/iwdb/) - Ecological species interactions.
-   International Currencies 1890-1910 (http://eh.net/database/international-currencies-1890-1910/) - Historical data on the international connections between 45 currencies.
-   KONECT - The Koblenz Network Collection (http://konect.uni-koblenz.de/) - Includes, among other things, networks of collaboration in DBpedia and Wikipedia, GitHub (companion handbook 
(https://arxiv.org/abs/1402.5500)).

-   Linton Freeman’s Network Data (http://moreno.ss.uci.edu/data.html) - Over 300 datasets of all sorts, in UCINET format.
-   Mangal (http://mangal.io/) - Online platform to analyze, archive and share ecological network data (preprint (https://doi.org/10.1101/002634), Python package (https://github.com/mangal-wg/pymangal), R 
package (https://github.com/mangal-wg/rmangal)).
-   Manlio De Domenico’s Complex Multilayer Networks (https://manliodedomenico.com/data.php).
-   Mark E.J. Newman’s Network Data (http://www-personal.umich.edu/~mejn/netdata/) (example visualizations (http://www-personal.umich.edu/~mejn/networks/)).
-   Network Repository (http://networkrepository.com/) - Fully searchable database containing hundreds of real-world networks.
-   Network Science Book - Network Datasets (http://networksciencebook.com/translations/en/resources/data.html) - Network data sets from Albert-László Barabási’s _Network Science_ book. Includes data on IMDB 
actors, arXiv scientific collaboration, network of routers, the US power grid, protein-protein interactions, cell phone users, citation networks, metabolic reactions, e-mail networks, and nd.edu Web pages.

-   Norwegian Interlocking Directorate, 2002-2011 (http://www.boardsandgender.com/data.php) - Two-mode and one-mode data on gender representation in Norwegian firms.
-   Movie galaxies (http://moviegalaxies.com/) - A database of movie characters interaction graphs.
-   Pajek Datasets (http://vlado.fmf.uni-lj.si/pub/networks/data/).
-   Philosophers Networks from Randall Collins’s _The Sociology of Philosophies_ (https://www.uva.nl/profiel/n/o/w.denooy/w.denooy.html#tab_1).
-   Siena Datasets (http://www.stats.ox.ac.uk/~snijders/siena/siena_datasets.htm).
-   SocioPatterns Datasets (http://www.sociopatterns.org/datasets/) - Network data obtained through the SocioPatterns (http://www.sociopatterns.org/) sensing platform.
-   Stanford Large Network Dataset Collection (http://snap.stanford.edu/data/index.html).
-   State Networks (https://ippsr.msu.edu/public-policy/state-networks) - US state-to-state relational variables, including borders, travel, trade and more.
-   tnet Datasets (https://toreopsahl.com/datasets/) - Weighted network data.
-   UC Berkeley Social Networks Study (UCNets) (https://www.icpsr.umich.edu/web/ICPSR/studies/36975) - Ego-centric data (personal networks) from a five-year panel study.
-   UCI Network Data Repository (http://networkdata.ics.uci.edu/).
-   UCINET Datasets (https://sites.google.com/site/ucinetsoftware/datasets) - Network data in UCINET format.

Journals

▐ Journals that are not fully open-access are marked as “gated”. Please also note that some of the publishers listed below are deeply hurting (https://twitter.com/costofknowledge) scientific publishing.

-   _Applied Network Science (http://appliednetsci.springeropen.com/)_ (Springer Open).
-   _ARCS – Analyse de réseaux pour les sciences sociales / Network Analysis for the Social Sciences (http://arcs.episciences.org/)_, in English and in French (GDR ARSHS (https://arshs.hypotheses.org/)).
-   _Computational and Mathematical Organization Theory (http://link.springer.com/journal/10588)_ (Springer, gated).
-   _Computational Social Networks (http://computationalsocialnetworks.springeropen.com/)_ (Springer Open).
-   _Connections (http://www.insna.org/connections.html)_ (INSNA). Twitter: @ConnectionsSNA (https://twitter.com/ConnectionsSNA).
-   _IEEE Transactions on Network Science and Engineering (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6488902)_ (IEEE).
-   _Journal of Complex Networks (https://academic.oup.com/comnet)_ (Oxford, gated).
-   _The Journal of Mathematical Sociology (http://www.tandfonline.com/loi/gmas20)_ (Taylor & Francis, gated).
-   _Journal of Social Structure (https://www.exeley.com/journal/journal_of_social_structure)_ (INSNA). Older archives (http://www.cmu.edu/joss).
-   _NETCOM. Networks and Communication Studies (https://journals.openedition.org/netcom/)_, in English and in French (Revues.org).
-   _Network Science (http://journals.cambridge.org/action/displayJournal?jid=nws)_ (Cambridge, gated).
-   _Online Social Networks and Media (https://www.journals.elsevier.com/online-social-networks-and-media/)_ (Elsevier, gated).
-   _REDES. Revista hispana para el análisis de redes sociales (http://revista-redes.rediris.es/)_, in Spanish (INSNA).
-   _Social Network Analysis and Mining (http://link.springer.com/journal/13278)_ (Springer, gated).
-   _Social Networks (http://ees.elsevier.com/son/default.asp)_ (Elsevier, gated).

Professional Groups

-   AFS RT 26 “Réseaux sociaux” (https://afs-socio.fr/rt/rt26/) - Thematic Network of the French Sociological Association (AFS), in French (old website 
(https://web.archive.org/web/20160421164221/http://www.cmh.pro.ens.fr/reseaux-sociaux/)).
-   APSA Political Networks (http://www.polinetworks.org/) - Organized Section of the American Political Science Association (APSA). Twitter: @PolNetworks (https://twitter.com/PolNetworks).
-   ECPR Political Networks SG (https://politicalnetsecpr.wordpress.com/) - Standing Group of the European Consortium for Political Research. Twitter: @politicalnets (https://twitter.com/politicalnets).
-   GDR ARSHS - GDR Analyse de réseaux en sciences humaines et sociales (https://arshs.hypotheses.org/), in French - Research group based in Paris.
-   Groupe FMR - Flux, Matrices, Réseaux (https://groupefmr.hypotheses.org/), in French. Twitter: @BaugLaurent (https://twitter.com/BaugLaurent).
-   INSNA - International Network for Social Network Analysis (https://www.insna.org/) (SOCNET mailing-list (https://www.insna.org/socnet)). Twitter: @SocNetAnalysts (https://twitter.com/SocNetAnalysts).
-   Mathematical Sociology Section of the American Sociological Association (ASA) (http://mathematicalsociology.org/). Twitter: @Math_Sociology (https://twitter.com/Math_Sociology).
-   NetSci - Network Science Society (http://www.netscisociety.net/). Twitter: @netscisociety (https://twitter.com/netscisociety).
-   Society of Young Network Scientists (SYNS) (https://society-of-young-network-scientists.github.io/). Supports early-career network scientists. Twitter: @official_SYNS (https://twitter.com/official_SYNS).

Research Groups (USA)

▐ Network-focused research centers, (reading) groups, institutes, labs – you name it – based in the USA.

-   Annenberg Networks Network (ANN) (http://uscann.tumblr.com/) - Research group studying social networks at the University of Southern California.
-   Center for Applied Network Analysis (CANA) (https://usccana.github.io/) - Research group based at the University of Southern California School of Medicine.
-   Channing Division of Network Medicine (http://www.brighamandwomens.org/research/depts/medicine/channing/default.aspx) - Research division within the Department of Medicine at Brigham and Women’s Hospital.
-   Complex Human Networks Reading Group (CoHN) (http://alumni.media.mit.edu/~tanzeem/cohn/CoHN.htm) - Reading list from a seminar held at MIT in 2001–2.
-   Duke Network Analysis Center (https://dnac.ssri.duke.edu/).
-   Interdependence in Governance and Policy Research Group (https://sites.psu.edu/desmaraisgroup/) - Led by Bruce A. Desmarais at Penn State University.
-   Indiana University Network Science Institute (IUNI) (http://iuni.iu.edu/).
-   Interdisciplinary Center for Network Science and Applications (iCeNSA) at the University of Notre Dame (http://icensa.com/).
-   LINKS Center for Social Network Analysis at the Gatton College of Business and Economics, University of Kentucky (https://sites.google.com/site/uklinkscenter/).
-   NetSCI Lab at the Rutgers School of Communication and Information (http://netsci.rutgers.edu/).
-   Network Dynamics Group at the Annenberg School for Communication, University of Pennsylvania (http://ndg.asc.upenn.edu/). Twitter: @NDGannenberg (https://twitter.com/NDGannenberg).
-   Network Interdependence in Social Systems (http://www.skylercranmer.net/niss-lab/) (NISS Lab) - Led by Skyler J. Cranmer at Ohio State University.
-   Network Science Center at the U.S. Military Academy (USMA) in West Point (http://www.usma.edu/nsc/) (blog (http://blog.netsciwestpoint.org/)).
-   Network Science IGERT at the University of California at Santa Barbara (UCSB) (http://networkscience.igert.ucsb.edu/) - Features an NSF-funded (http://www.igert.org/) graduate programme.
-   Networks, Computation, and Social Dynamics Lab (http://www.ncasd.org/) - Headed by Carter T. Butts. Part of the Center for Networks and Relational Analysis (http://relationalanalysis.org/) (CNRA) at the 
University of California in Irvine.
-   Northeastern University Network Science Institute (http://www.networkscienceinstitute.org/) - Features a PhD in Network Science program.
-   Northeastern University Center for Complex Network Research (https://www.northeastern.edu/research/centers/center-for-complex-network-research-ccnr/) - Led by Albert-László Barabási.
-   Northeastern University MOBS Lab - Laboratory for the Modeling of Biological and Socio-technical Systems (http://www.mobs-lab.org/) - Led by Alessandro Vespignani.
-   Pacific Ecoinformatics and Computational Ecology Lab (http://foodwebs.org/) - Non-profit study group of ecological networks (“food webs”).
-   Peter J. Mucha’s Research Group at the University of North Carolina at Chapel Hill (http://mucha.web.unc.edu/networks/).
-   Social Network Analysis Group at Stanford (http://sna.stanford.edu/).
-   Warren Center for Network & Data Sciences at the University of Pennsylvania (http://warrencenter.upenn.edu/).
-   Yale Institute for Network Science (YINS) (http://yins.yale.edu/).

Research Groups (Other)

▐ Network-focused research centers, (reading) groups, institutes, labs – you name it – based outside of the USA.

-   Cambridge Networks Network (CNN) (http://www.cnn.group.cam.ac.uk/) - Research network on complex networks.
-   Centre for Business Network Analysis, University of Greenwich (http://www.gre.ac.uk/business/research/centres/cbna/home) - Focused on economic/organisational network analysis.
-   Center for Network Science, Central European University, Budapest (http://cns.ceu.edu/) - Features a PhD in Network Science program.
-   Complex Networks (http://www.complexnetworks.fr/) - Research group based in Paris.
-   Cx-Nets (http://www.cxnets.org/) - Virtual collaboration between four complex networks research groups.
-   Data Science Group (http://datasciencegroup.pl/) -  Wroclaw-based research group that studies, among many things, complex networks and other network-related topics.
-   Digital Humanities (http://cmb.huma-num.fr/) - Interdisciplinary group of researchers at the Marc Bloch Centre in Berlin, with many network science projects.
-   Forschungscluster der Universitäten Trier und Mainz “Gesellschaftliche Abhängigkeiten und soziale Netzwerke” (http://www.netzwerk-exzellenz.uni-trier.de/), in German.
-   GDR Analyse de réseaux en sciences humaines et sociales (https://arshs.hypotheses.org/) – French research group with funds to support training and workshops on network analysis for social scientists.
-   Historical Network Research (HNR) (http://historicalnetworkresearch.org/) - Platform for scholars interested in network analysis for historical research.
-   **HNR Conferences, Workshops and Other Events** (http://historicalnetworkresearch.org/hnr-events/).
-   **HNR Talks** (https://vimeo.com/user11811027) - Videos, in German.                                
-   ANR-Lab - International Laboratory for Applied Network Research (https://anr.hse.ru/en/) - Russian group based at the National Research University in Moscow.
-   **Theory and Methods in Network Analysis (“TMSA”) Summer Schools** (https://anr.hse.ru/en/summer).
-   Large Graphs and Networks (http://sites.uclouvain.be/networks/) - Research group at the Catholic University of Louvain (official page 
(https://uclouvain.be/en/research-institutes/icteam/large-graphs-and-networks.html)).
-   MelNet Social Network Research Group, Swinburne University of Technology (http://www.swinburne.edu.au/fbl/research/transformative-innovation/our-research/MelNet-social-network-group/). Twitter: @melnetsna 
(https://twitter.com/melnetsna).
-   Mitchell Centre for Social Network Analysis, University of Manchester (http://www.socialsciences.manchester.ac.uk/mitchell-centre/) - Currently studies covert networks 
(http://www.socialsciences.manchester.ac.uk/mitchell-centre/research/covert-networks/). Twitter: @MitchellSNA (https://twitter.com/MitchellSNA).
-   Murata Laboratory (http://www.net.c.titech.ac.jp/) - Tokyo-based research group, studying bi-, tri- and k-partite (hyper)networks.
-   NetLab (http://www.urbancentre.utoronto.ca/researchgroups/netlab.html) - Research network at the University of Toronto, led by Barry Wellman.
-   Network Science Research Centre, Swansea University (http://www.swansea.ac.uk/medicine/enterpriseandinnovation/networkscienceresearchcentre/).
-   Network Dynamics (http://networkdynamics.org/) - Research Lab at McGill University, led by Derek Ruths (http://www.derekruths.com/)
-   Netzwerkerei (http://netzwerkerei.org/) - Historical research project on the connections between Jewish intellectuals.
-   ORIO - Observatoire des Réseaux Intra- et Inter-Organisationnels (http://blogs.sciences-po.fr/recherche-network-organization-institution-dynamics-multilevel/) - A research program on networks and regulation.
-   **‘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.                                                                                                                                                                                                                   
-   Redes-Sociales (http://www.redes-sociales.net/), in Spanish - Information network based at the Universitat Autònoma de Barcelona.
-   RES-HIST : Réseaux et histoire (https://reshist.hypotheses.org/), in French - Blog posts from a research group on historical networks.
-   **RES-HIST Conferences** (https://reshist.hypotheses.org/?s=res-hist).
-   SocioPatterns (http://www.sociopatterns.org/) - Interdisciplinary research group that uses wireless sensors to study social network data.
-   SoNAR-C - Social Network Analysis Research Center, University of Italian Switzerland (USi) (http://www.sonarcenter.eco.usi.ch/).
-   Topographies of Entanglements. Mapping Medieval Networks (https://oeaw.academia.edu/TopographiesofEntanglements) - Research platform based at the Austrian Academy of Sciences that focuses on applying network
theory and visualisation to medieval history.
-   UCL Centre for Organisational Network Analysis (CONA) (https://www.ucl.ac.uk/cona).
-   Virtual Observatory for the Study of Online Networks (VOSON) (http://vosonlab.net/) - Research and software development project located at the Australian National University.

Review Articles

Archeological and Historical Networks

▐ See also the bibliographies by Claire Lemercier and Claire Zalc (http://www.quanti.ihmc.ens.fr/Analyse-de-reseaux-bibliographie.html) (section on ‘_études structurales_’), by the Historical Network Research 
▐ Group (http://historicalnetworkresearch.org/resources/bibliography/), and by Tom Brughmans (https://archaeologicalnetworks.wordpress.com/network-science-bibliography/).

-   Analyse de réseaux et histoire (https://doi.org/10.3917/rhmc.522.0088), in French (_Revue d’histoire moderne et contemporaine_, 2005).
-   Analyser les réseaux du passé en archéologie et en histoire (https://doi.org/10.4000/nda.2300), in French (_Les Nouvelles de l’Archéologie_, 2014).
-   Formale Methoden der Netzwerkanalyse in den Geschichtswissenschaften: Warum und Wie? Formal Network Methods in History: Why and How?  
(http://www.studienverlag.at/data.cfm?vpath=openaccess/oezg-12012-lemercier&download=yes), in German (preprint in English (https://shs.hal.science/halshs-00521527); _Österreichische Zeitschrift für 
Geschichtswissenschaften_, 2012).
-   From Hermeneutics to Data to Networks: Data Extraction and Network Visualization of Historical Sources (http://programminghistorian.org/lessons/creating-network-diagrams-from-historical-sources) 
(_Programming Historian_, 2015).
-   Graph Theory and Networks in Biology (https://doi.org/10.1049/iet-syb:20060038) (preprint (https://arxiv.org/abs/q-bio/0604006); _IET Systems Biology_, 2007).
-   Introduction à la visualisation de données : l’analyse de réseau en histoire (https://www.martingrandjean.ch/introduction-visualisation-de-donnees-analyse-de-reseau-histoire/), in French (_Geschichte und 
Informatik_, 2015).
-   Introduction : où en est l’analyse de réseaux en histoire ? Introducción: ¿en qué punto se encuentra el análisis de redes en Historia?  (https://doi.org/10.5565/rev/redes.416), in French and Spanish 
(_REDES_, 2011).
-   Networks and History (https://doi.org/10.1002/cplx.10054) (_Complexity_, 2002).
-   Networks in Historical Research (http://www.themacroscope.org/?page_id=308) (in _The Historian’s Macroscope_, 2013).
-   Networks of Power in Archaeology (https://doi.org/10.1146/annurev-anthro-102313-025901) (_Annual Review of Anthropology_, 2014).
-   Netzwerkanalyse in den Geschichtswissenschaften. Historische Netzwerkanalyse als Methode für die Erforschung von historischen Prozessen 
(https://www.researchgate.net/publication/300723171_Netzwerkanalyse_in_den_Geschichtswissenschaften_Historische_Netzwerkanalyse_als_Methode_fur_die_Erforschung_von_historischen_Prozessen), in German (_Prozesse. 
Formen, Dynamiken, Erklärungen (https://www.springer.com/de/book/9783531176604)_, 2015).
-   The Roots and Shoots of Archaeological Network Analysis: A Citation Analysis and Review of the Archaeological Use of Formal Network Methods 
(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_Re
view_from_Cambridge_29_1_) (_Archaeological Review from Cambridge_, 2014).
-   Thinking Through Networks: A Review of Formal Network Methods in Archaeology (https://doi.org/10.1007/s10816-012-9133-8) (_Journal of Archaeological Method and Theory_, 2013).

Bibliographic, Citation and Semantic Networks

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

Biological, Ecological and Disease Networks

-   Biological Networks (http://kops.uni-konstanz.de/handle/123456789/25907) (_Handbook of Graph Drawing and Visualization_, 2014).
-   Interactome Networks and Human Disease (https://barabasi.com/f/326.pdf) (_Cell_, 2011).
-   Network Analysis: An Integrative Approach to the Structure of Psychopathology (https://doi.org/10.1146/annurev-clinpsy-050212-185608) (_Annual Review of Clinical Psychology_, 2013).
-   Network Biology: Understanding the Cell’s Functional Organization (https://barabasi.com/f/147.pdf) - Accessible introduction to (cellular) network analysis (_Nature Reviews Genetics_, 2004).
-   Network Medicine: A Network-based Approach to Human Disease (https://barabasi.com/f/320.pdf) (_Nature Review Genetics_, 2011).
-   Social Networks and the Spread of Infectious Diseases: the AIDS Example (https://doi.org/10.1016/0277-9536(85)90269-2) (_Social Networks_, 1985).
-   Structure and Dynamics of Molecular Networks: A Novel Paradigm of Drug Discovery. A Comprehensive Review (https://doi.org/10.1016/j.pharmthera.2013.01.016) - Also includes an impressive list of network 
analysis software (_Pharmacology & Therapeutics_, 2013).

Complex and Multilayer Networks

-   The Architecture of Complexity (https://barabasi.com/f/226.pdf) - From network theory to complexity theory (_IEEE Control Systems Magazine_, 2007).
-   Complex Systems and Networks (https://www.science.org/toc/science/325/5939) (special issue of _Science_, 2009).
-   Multilayer Networks in a Nutshell (https://doi.org/10.1146/annurev-conmatphys-031218-013259) (_Annual Review of Condensed Matter Physics_, 2019).
-   Statistical Mechanics of Complex Networks (https://barabasi.com/f/103.pdf) (_Reviews of Modern Physics_, 2002).
-   The Structure and Function of Complex Networks (https://doi.org/10.1137/S003614450342480) (_SIAM Review_, 2003).

Ethics of Network Analysis

-   A Cautionary Note on Data Inputs and Visual Outputs in Social Network Analysis (SNA) (https://doi.org/10.1111/j.1467-8551.2012.00835.x) (preprint conway2014 ; _British Journal of Management_, 2014).
-   Ethical Dilemmas in Social Network Research (https://www.sciencedirect.com/journal/social-networks/vol/27/issue/2) (special issue of _Social Networks_, 2005).
-   Ethical and Strategic Issues in Organizational Social Network Analysis (http://www.analytictech.com/borgatti/papers/ethics.pdf) (_The Journal of Applied Behavioral Science_, 2003).

conway2014 : https://lra.le.ac.uk/bitstream/2381/36068/2/Draft%20BJM%20Revised%20(3rd%20iteration)%20Manuscript.pdf

Network Modeling

-   A Brief History of Statistical Models for Network Analysis and Open Challenges fienberg2012  (_Journal of Computational and Graphical Statistics_, 2012).
-   Basic Models and Questions in Statistical Network Analysis (https://projecteuclid.org/euclid.ssu/1504836152) (_Statistics Surveys_, 2017).
-   Introduction to Stochastic Actor-Based Models for Network Dynamics (https://doi.org/10.1016/j.socnet.2009.02.004) (preprint (http://www.stats.ox.ac.uk/~snijders/SnijdersSteglichVdBunt2009.pdf); _Social 
Networks_, 2010).
-   Navigating the Range of Statistical Tools for Inferential Network Analysis (https://doi.org/10.1111/ajps.12263) (_American Journal of Political Science_, 2017).
-   Positional Analysis and Blockmodeling (http://link.springer.com/referenceworkentry/10.1007%2F978-1-4614-1800-9_138) (_Computational Complexity_, 2012).
-   Social Network Evolution and Actor Oriented Models (https://doi.org/10.4000/msh.2750) (_Mathematics & Social Sciences_, 1997).
-   Statistical Models for Social Networks (https://doi.org/10.1146/annurev.soc.012809.102709) (_Annual Review of Sociology_, 2011).
-   A Survey of Statistical Network Models (https://dl.acm.org/citation.cfm?id=1734795) - Book-length review (preprint (https://arxiv.org/abs/0912.5410); _Foundations and Trends in Machine Learning_, 2010).
-   A Unified View of Generative Models for Networks: Models, Methods, Opportunities, and Challenges (https://arxiv.org/abs/1411.4070) (video presentation 
(http://www.birs.ca/events/2015/5-day-workshops/15w5080/videos/watch/201504200944-Jacobs.html); NIPS 2014 workshop (https://nips.cc/Conferences/2014/Schedule?type=Workshop) on “Networks: From Graphs to Rich Data
(https://410f84824e101297359cc81c78f45c7c079eb26c.googledrive.com/host/0Bz6WHrWac3FrWnA5MjZqb3lWa2c/)”).

fienberg2012 : http://www.stat.cmu.edu/~brian/780/hw01/Fienberg%20(2012)%20A%20Brief%20History%20of%20Statistical%20Models%20for%20Network%20Analysis%20and%20Open%20Challenges.pdf

Network Visualization

-   Explorations into the Visualization of Policy Networks (https://www.academia.edu/17565685/Explorations_into_the_Visualization_of_Policy_Networks) (_Journal of Theoretical Politics_, 1999).
-   Graphical Techniques for Exploring Social Network Data (http://moreno.ss.uci.edu/87.pdf) (_Models and Methods in Social Network Analysis_, 2005).
-   Methods of Social Network Visualization (http://moreno.ss.uci.edu/90.pdf) (_Encyclopedia of Complexity and Systems Science_, 2009; poster version (http://www.pfeffer.at/data/visposter/)).
-   Social Networks (http://moreno.ss.uci.edu/93.pdf) (_Handbook of Graph Drawing and Visualization_, 2013).

Social, Economic and Political Networks

▐ See also the bibliographies by Eszter Hargittai (http://eszter.com/contract.html#socnet), by Pierre François (http://pierrefrancois.wifeo.com/documents/Cours-rseau---biblio-gnrale.pdf) and by Pierre Mercklé 
▐ (http://socio.ens-lyon.fr/merckle/merckle_communications_2008_cargese_reseaux_nuls_biblio.pdf).

-   A propos de la notion de rôle dans l’analyse des relations sociales (https://doi.org/10.4000/msh.11969) (_Mathématiques et sciences humaines_, 2011).
-   Brokerage (https://doi.org/10.1146/annurev-soc-081309-150054) (_Annual Review of Sociology_, 2012).
-   Birds of a Feather: Homophily in Social Networks (https://doi.org/10.1146/annurev.soc.27.1.415) (_Annual Review of Sociology_, 2001).
-   Mixed-Method Approaches to Social Network Analysis (http://eprints.ncrm.ac.uk/842/) (ESRC NCRM Discussion Paper, 2010).
-   Network Analysis and Political Science (https://doi.org/10.1146/annurev.polisci.12.040907.115949) (_Annual Review of Political Science_, 2011).
-   Network Analysis for International Relations 
(https://www.cambridge.org/core/journals/international-organization/article/div-classtitlenetwork-analysis-for-international-relationsdiv/DE2910979C1B5C44C4CC13F336C5DE97) (_International Organization_, 2009).
-   Network Analysis in the Social Sciences (http://science.sciencemag.org/content/323/5916/892) (_Science_, 2009).
-   Networks and Trade (https://doi.org/10.1146/annurev-economics-080217-053506) (_Annual Review of Economics_, 2018).
-   Networks in Social Psychology, Beginning with Kurt Lewin (http://link.springer.com/10.1007%2F978-1-4614-6170-8_79) (_Encyclopedia of Social Network Analysis and Mining 
(https://www.springer.com/us/book/9781461461692)_, 2014).
-   Networks in the Understanding of Economic Behaviors (https://www.aeaweb.org/articles?id=10.1257/jep.28.4.3) (_Journal of Economic Perspectives_, 2014).
-   Positions and Roles (http://sk.sagepub.com/reference/the-sage-handbook-of-social-network-analysis/n29.xml) (_The SAGE Handbook of Social Network Analysis (http://www.sagepub.in/books/Book232753/)_, 2011).
-   The Social and the Sexual: Networks in Contemporary Demographic Research (http://repository.upenn.edu/psc_working_papers/41/) (PSC Working Paper Series, 2013).
-   Social Network Analysis in the Study of Terrorism and Political Violence (http://journals.cambridge.org/article_S1049096510001848) (preprint 
(http://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=1048&context=pn_wp); _PS: Political Science and Politics_, 2011).
-   Social Networks and Crime: Pitfalls and Promises for Advancing the Field (https://doi.org/10.1146/annurev-criminol-011518-024701) (_Annual Review of Criminology_, 2019).
-   Urban Social Networks: Some Methodological Problems and Possibilities (_The Small World_ (https://www.worldcat.org/title/small-world/oclc/925078340&referer=brief_results), 1989).

Selected Papers

▐ A voluntarily short list of applied, epistemological and methodological articles, many of which have become classic readings in network analysis courses. Intended for highly motivated social science students 
▐ with little to no prior exposure to network analysis.

-   Aux sources des grands réseaux d’interactions. Retour sur quelques propriétés déterminantes des réseaux sociaux issus de corpus documentaires (https://www.cairn.info/revue-reseaux1-2008-6-page-21.htm), by 
Pascal Cristofoli, in French - Reviews the current state of relational sociology and network analysis in light of the large-scale and online data (_Réseaux_, 2008).
-   Birds of a Feather, Or Friend of a Friend? Using Exponential Random Graph Models to Investigate Adolescent Social Networks (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2831261/), by Steven M. Goodreau, 
James A. Kitts and Martina Morris - Accessible introduction to the logic and application of exponential random graph modeling (_Demography_, 2001).
-   Chains of Affection: The Structure of Adolescent Romantic and Sexual Networks (http://www.soc.duke.edu/~jmoody77/chains.pdf), by Peter S. Bearman, James Moody and Katherine Stovel - Classic example of 
topological network analysis applied to a network of affective and sexual ties (_American Journal of Sociology_, 2004).
-   Coauthorship and Citation Patterns in the _Physical Review_ (https://doi.org/10.1103/PhysRevE.88.012814), by Travis Martin _et al._ - Highly typical study of scientific publishing productivity and 
collaboration through temporal network analysis (preprint (https://arxiv.org/abs/1304.0473); _Physical Review E_, 2013).
-   The Convergence of Social and Technological Networks (https://www.cs.cornell.edu/home/kleinber/cacm08.pdf), by Jon Kleinberg - Discusses small-world effects and social contagion within the context of the 
Internet and social media (_Communications of the ACM_, 2008).
-   Deux traditions d’analyse des reseaux sociaux (https://www.cairn.info/revue-reseaux1-2002-5-page-183.htm), by Michael Eve (English version 
(https://www.academia.edu/14524365/THE_TWO_TRADITIONS_OF_NETWORK_ANALYSIS); _Réseaux_, 2002).
-   Homophily and Contagion Are Generically Confounded in Observational Social Network Studies (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3328971/), by Cosma R. Shalizi and Andrew C. Thomas - Makes a very 
important point for the analysis of network diffusion and influence (_Sociological Methods and Research_, 2011).
-   La notion de réseau complexe : du réseau comme abstraction et outil à la masse de données des réseaux sociaux en ligne (https://doi.org/10.4000/communicationorganisation.4093), by Alain Barrat, in French - 
Accessible introduction to the study of complex networks (_Communication & Organisation_, 2013).
-   Network Analysis, Culture, and the Problem of Agency (https://www.mustafaemirbayer.com/network-analysis-culture-and-the-pr), by Mustafa Emirbayer and Jeff Goodwin (_American Journal of Sociology_, 1994), and
Manifesto for a Relational Sociology (https://www.mustafaemirbayer.com/copy-3-of-bourdieu), by Mustafa Emirbayer (_American Journal of Sociology_, 1997) - Sociological foundations for a science of social ties.
-   Network Theory, Plot Analysis (https://sydney.edu.au/intellectual-history/documents/moretti_network_theory_plot_analysis.pdf), by Franco Moretti - Example applications of (fictional) network analysis in 
literary studies (_New Left Review_, 2011).
-   Node Centrality in Weighted Networks: Generalizing Degree and Shortest Paths (https://doi.org/10.1016/j.socnet.2010.03.006), by Tore Opsahl, Filip Agneessens and John Skvoretz - Explores the generalization 
of network centrality and distance measures to (positively) valued graphs (_Social Networks_, 2010; companion website (https://toreopsahl.com/tnet/)).
-   Scale-Free Networks (https://barabasi.com/f/124.pdf), by Albert-László Barabási and Eric Bonabeau - Early, accessible formulation of the “networks are everywhere” argument (_Scientific American_, 2003).
-   Social Networks and Causal Inference (http://link.springer.com/chapter/10.1007/978-94-007-6094-3_17), by Tyler J. VanderWeele and Weihua An - Reviews the different ways in which network analysis can produce 
meaningful causal statements, as well as the inherent limits of network analysis for doing so (_Handbook of Causal Analysis for Social Research (http://link.springer.com/book/10.1007/978-94-007-6094-3)_, 2013).
-   The Performativity of Networks (https://kieranhealy.org/files/papers/performativity.pdf), by Kieran Healy - Network analysis meets science studies: social networks, like financial markets, are highly subject
to performativity, i.e. the possibility that reality might be altered by its theoretical inquiry (_European Journal of Sociology_, 2015).
-   Revisiting the Foundations of Network Analysis (http://science.sciencemag.org/content/325/5939/414), by Carter T. Butts - On choosing the right network representation to frame a research problem.
-   Robust Action and the Rise of the Medici, 1400-1434 (http://home.uchicago.edu/~jpadgett/papers/published/robust.pdf), by John F. Padgett and Christopher K. Ansell - Classic analysis of power relations in the
Renaissance Florentine state (_American Journal of Sociology_, 1993).
-   The Strength of Weak Ties (https://sociology.stanford.edu/sites/default/files/publications/the_strength_of_weak_ties_and_exch_w-gans.pdf), by Mark Granovetter - Arch-classic example of applying network 
analysis to a social issue: jobseeking (_American Journal of Sociology_, 1973).
-   The Ties that Divide: A Network Analysis of the International Monetary System, 1890–1910 (http://www.stats.ox.ac.uk/~snijders/FlandreauJobst2005.pdf) (_The Journal of Economic History_, 2005) and The 
Empirics of International Currencies: Network Externalities, History and Persistence (https://doi.org/10.1111/j.1468-0297.2009.02219.x) (_The Economic Journal_, 2009), both by Marc Flandreau and Clemens Jobst - 
Network analysis of the foreign exchange system in the late 19th century (data (http://eh.net/database/international-currencies-1890-1910/)).
-   Topics in Social Network Analysis and Network Science (https://arxiv.org/abs/1404.0067), by A. James O’Malley and Jukka-Pekka Onnela - 50-page introduction to network analysis, with just the right amount of 
detail on all aspects of it (_The Handbook of Health Services Research_, forthcoming 2017).

Software

▐ For a hint of why this section of the list might be useful to some, see Mark Round’s Map of Data Formats and Software Tools 
▐ (http://mdround.blogs.com/usingnetworks/2009/07/sna-tools-and-formats-diagram-updated.html) (2009).  
▐ Several links in this section come from the NetWiki Shared Code (http://netwiki.amath.unc.edu/SharedCode/SharedCode) page, from the Cambridge Networks Network List of Resources for Complex Network Analysis 
▐ (http://www.cnn.group.cam.ac.uk/Resources), and from the Software for Social Network Analysis (http://www.gmw.rug.nl/~huisman/sna/software.html) page by Mark Huisman and Marijtje A.J. van Duijn. For a recent 
▐ academic review on the subject, see the Social Network Algorithms and Software (https://doi.org/10.1016/B978-0-08-097086-8.43121-1) entry of the _International Encyclopedia of Social and Behavioral Sciences_, 
▐ 2nd edition (2015).  
▐ See also the Social Network Analysis Project Survey (https://docs.google.com/spreadsheets/d/1Xo-ehJatzmxMek6gPG0h-d7yRSuiO6_flViTQNMAku0/edit#gid=0) (blog post 
▐ (http://pudo.org/blog/2013/12/21/sna-survey.html)), an earlier attempt to chart social network analysis tools that links to many commercial platforms not included in this list, such as Detective.io 
▐ (http://www.detective.io/). The Wikipedia English entry on Social Network Analysis Software (https://en.wikipedia.org/wiki/Social_network_analysis_software) also links to many commercial that are often very 
▐ expensive, outdated, and far from being awesome by any reasonable standard.  
▐ Software-centric tutorials are listed below their program of choice: other tutorials are listed in the next section (#tutorials).

-   ArcGIS Network Analyst (http://www.esri.com/software/arcgis/extensions/networkanalyst) - Network-based spatial analysis software for solving complex routing problems.
-   CFinder (http://www.cfinder.org/) - Cross-platform Java program to identify clusters and communities through the Clique Percolation Method (CPM).
-   Circos (http://circos.ca/) - Cross-platform program to produce circular layouts of network data, written in Perl.
-   Cytoscape (http://www.cytoscape.org/) - Cross-platform Java program to build, analyze and visualize networks. Also a JavaScript library.
-   **Network Analysis with Cytoscape Tutorial** (https://archaeologicalnetworks.wordpress.com/resources/#cytoscape) - Illustrated through an archaeological and geographical case study (2013).
-   Discourse Network Analyzer (DNA) (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.
-   E-Net (https://sites.google.com/site/enetsoftware1/) - Windows program for ego network analysis.
-   EgoNet (https://sourceforge.net/projects/egonet/) - Cross-platform Java program for ego network analysis.
-   EgoWeb (https://www.qualintitative.com/egoweb/) - Server-side software for social network data collection and processing.
-   easyN (http://www.esyn.org/) - Online tool aimed at representing and sharing gene interaction networks as well as Petri net models.
-   Gephi (https://gephi.org/) - Cross-platform, free and open source tool for network visualization.
-   **Clément Levallois’ Gephi Tutorials** (https://seinecle.github.io/gephi-tutorials/).                                        
-   **Geographische Netzwerkvisualisierung mit dem Programm ‘Gephi’** (http://www.podcampus.de/nodes/RJVZo), in German (2016).   
-   **Introduction to Network Analysis and Visualization with Gephi** (http://www.martingrandjean.ch/gephi-introduction/) (2015).
-   **Practical Social Network Analysis With Gephi** (http://derekgreene.com/gephitutorial/) (2014).                             
-   GLEAMviz Simulator (http://www.gleamviz.org/) - Cross-platform tool intended for the prediction of human epidemics.
-   Graph Commons (https://graphcommons.com/) - Collaborative platform for mapping, analyzing and publishing data-networks.
-   Graphia (https://graphia.app/) - Cross-platform tool to visualize large and complex networks (announcement (https://www.cnn.group.cam.ac.uk/news/Graphia-April19)).
-   Graphviz (http://www.graphviz.org/) - Cross-platform software to draw graphs in the DOT graph drawing language.
-   Graphy (https://github.com/bruce/graphy) - Graph theory library written in Ruby.
-   GraphX (https://spark.apache.org/graphx/) - Apache Spark (https://spark.apache.org/) module to perform graph-related parallel computation.
-   Linkage (https://linkage.fr/) - Online tool to visualize and model networks with textual edges.
-   Lynks (https://lynksoft.com/) - Web-based tool for simple network analysis and visualization.
-   Mathematica (https://www.wolfram.com/mathematica/) - Cross-platform program with graph theory and network analysis functionalities.
-   **IGraph/M** (https://github.com/szhorvat/IGraphM) - Interface to use the `igraph` library from within Mathematica, using standard Mathematica `Graph` objects.
-   Metamaps (https://metamaps.cc/) - Free, open-source platform to draw networks, currently in beta.
-   MuxViz (http://muxviz.net/) - Cross-platform, free and open source tool to study multilayer networks, based on R and GNU Octave.
-   Neo4j (http://neo4j.com/) - Open source, scalable graph database, used by companies like Linkurious (http://linkurio.us/).
-   Network Canvas (http://networkcanvas.com/) - A free and open-source set of survey tools for ego-centric and personal network studies, including documentation (https://documentation.networkcanvas.com) and a 
user community (https://community.networkcanvas.com). 
-   Node Overlap and Segregation Software (http://nos.alwaysdata.net/) - Web-based tool to compute Strona and Veech (https://doi.org/10.1111/2041-210X.12395)’s node overlap and segregation measures.
-   Nodegoat (http://nodegoat.net/) - Web-based data management, network analysis and visualisation environment (blog (http://nodegoat.net/blog)).
-   NodeXL (http://nodexl.codeplex.com/) - Free, open-source template to explore network graphs with Microsoft Excel.
-   **The NodeXL Series** (https://blogs.k-state.edu/it-news/tag/nodexl/) - Series of blog posts on using NodeXL (2013).
-   ORA-LITE (http://www.casos.cs.cmu.edu/projects/ora/) - Windows program for dynamic meta-network assessment and analysis.
-   OSoMe (http://osome.iuni.iu.edu/) - Web-based platform to analyze social media data, including through Twitter-based and co-occurrence networks.
-   Pajek (http://mrvar.fdv.uni-lj.si/pajek/) - Windows program for large network analysis, free for noncommercial use.
-   **Analyse des réseaux : une introduction à Pajek** (https://quanti.hypotheses.org/512/), in French (2011).
-   **La détection de communautés avec Pajek 3.6** (https://groupefmr.hypotheses.org/544), in French (2012).  
-   Palladio (http://hdlab.stanford.edu/palladio/) - Web-based spatial network visualization tool by the Humanities + Design research lab (http://hdlab.stanford.edu/) at Stanford University.
-   PARTNER - Program to Analyze, Record, and Track Networks to Enhance Relationships (https://visiblenetworklabs.com/partner-cprm/) - Excel-based tool for building networks from surveys.
-   PIGALE - Public Implementation of a Graph Algorithm Library and Editor (https://pigale.sourceforge.net/) - Windows program and C++ library to analyze planar graphs.
-   PNet (http://www.swinburne.edu.au/fbl/research/transformative-innovation/our-research/MelNet-social-network-group/PNet-software/index.html) - Simulation and estimation of (one-mode and multilevel) 
exponential random graph models (ERGMs), written in Java for Windows.
-   Polinode (https://www.polinode.com/) - Web-based platform to both analyze network data as well as collect network data via relationship-based surveys.
-   PUCK - Program for the Use and Computation of Kinship data (http://www.kintip.net/) - Cross-platform Java program for genealogical network analysis.
-   qgis-edge-bundling (https://github.com/ait-energy/qgis-edge-bundling) - Implementation of force-directed edge bundling for the QGIS Processing toolbox.
-   Radatools (https://deim.urv.cat/~sergio.gomez/radatools.php) - Set of tools intended for the analysis of complex networks, built on top of Radalib (http://deim.urv.cat/~sergio.gomez/radalib.php), a library 
written in Ada.
-   Retina (https://ouestware.gitlab.io/retina) - Web application to share GEXF and GraphML network visualizations.
-   SageMath (https://www.sagemath.org/) - Free open-source mathematics software with extensive graph capabilities (http://doc.sagemath.org/html/en/reference/graphs/index.html).
-   Segrada (https://www.segrada.org/) - Cross-platform tool to build and visualize semantic graph databases.
-   Siena (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.
-   SocNetV - Social Network Visualizer (https://socnetv.org/) - Cross-platform program that includes a simple Web crawler (https://socnetv.org/news/?post=socnetv-v16-released-with-a-working-web-crawler) to 
construct hyperlink networks.
-   SoNIA - Social Network Image Animator (http://web.stanford.edu/group/sonia/) - Tool to visualize dynamic or longitudinal network data. Formerly a Java program (https://sourceforge.net/projects/sonia/) (
example movies (http://www.soc.duke.edu/~jmoody77/NetMovies/index.htm)), now developed as the ndtv R package.
-   SparklingGraph (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.
-   SPaTo Visual Explorer (http://www.spato.net/) - Cross-platform program for the visualization and exploration of complex networks.
-   StOCNET (http://www.gmw.rug.nl/~stocnet/StOCNET.htm) - Several Windows programs developed by the same team as Siena.
-   Tulip (http://tulip.labri.fr/) - Cross-platform network analysis and visualization framework built on top of a C++ library, with plugins dedicated to specific biological and physical networks. Also available
through its Python package (http://tulip.labri.fr/Documentation/current/tulip-python/html/index.html).
-   UCINET (https://sites.google.com/site/ucinetsoftware/) - Windows commercial software package for the analysis of social network data.
-   Uberlink (http://www.uberlink.com/) - Software suite for online (hyperlink) network analysis, by the VOSON (http://vosonlab.net/) research project.
-   **VOSON System** (http://www.uberlink.com/software#voson) - Web-based software for the collection and analysis of online network data.                                                                                                                  
-   **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-analys                                         
is-part-9/); to be discontinued in 2016).                                                                                                                                                                                                                   
-   **vosonR** (http://vosonlab.net/tools) - R client for the VOSON software (in development).                                                                                                                                                              
-   UNISoN (http://unison.sleonard.co.uk/) - Cross-platform program to download and visualize Usenet data. Developed for a Masters degree (https://github.com/leonarduk/unison/wiki/MSc-Report-Abstract).
-   VennMaker: An Actor-Centered Interactive Network Mapping Tool (http://www.vennmaker.com/?lang=en) - Cross-platform Java program for ego network analysis.
-   **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).
-   Visone (https://visone.ethz.ch/) - Cross-platform Java network analysis and visualization program, free for noncommercial use.
-   **Visone Tutorials** (https://visone.ethz.ch/wiki/index.php/Tutorials) - Including one using an archaeological case study (2017).
-   Vizster (http://vis.stanford.edu/jheer/projects/vizster/) - Cross-platform Java program to visualize online social networks.
-   VOSviewer (https://www.vosviewer.com/) - Cross-platform Java tool for constructing and visualizing bibliometric networks.

Algorithms

▐ Network placement and community detection algorithms that do not fit in any of the next subsections.  
▐ See also the Awesome Algorithms (https://github.com/tayllan/awesome-algorithms) and Awesome Algorithm Visualization (https://github.com/enjalot/algovis) lists for more algorithmic awesomess.

-   algo.graph (https://github.com/clojure/algo.graph) - Basic graph theory algorithms written in Clojure.
-   CONGA and CONGO (https://gregory.org/research/networks/software/conga.html) - Algorithms to detect overlapping communities in networks, written in Java.
-   ForceAtlas2 (https://gephi.wordpress.com/2011/06/06/forceatlas2-the-new-version-of-our-home-brew-layout/) - Force-directed layout included in Gephi (paper 
(http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0098679)).
-   Linkcomm - Link Communities in Complex Networks (https://github.com/bagrow/linkcomm) - Community detection algorithms, available in C++, Python and R (https://CRAN.R-project.org/package=linkcomm).
-   MixNet - Erdös-Rényi Mixture Model for Networks (https://ssbgroup.fr/mixnet.html) - Community detection method, available in C++ and R.
-   OSLOM2 - Order Statistics Local Optimization Method (http://www.oslom.org/) - Clustering algorithm.
-   vbmod: Variational Bayesian Inference for Network Modularity (https://vbmod.sourceforge.net/) - MATLAB and Python implementations of a Bayesian community detection algorithm 
(https://arxiv.org/abs/0709.3512).
-   weighted-modularity-LPAwbPLUS (https://github.com/sjbeckett/weighted-modularity-LPAwbPLUS) - Julia, MATLAB and R implementations of two algorithms to find weighted modularity in bipartite networks.

C / C++

▐ For more awesome C / C++ content, see the Awesome C (https://github.com/aleksandar-todorovic/awesome-c) and Awesome C / C++ (https://github.com/fffaraz/awesome-cpp) lists.

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

Java

- GraphStore (https://github.com/gephi/graphstore) - In-memory graph structure implementation, powering Gephi.
- GraphStream (https://graphstream-project.org/) - Java library for the modeling and analysis of dynamic graphs.
- Mixer (https://github.com/keith-turner/mixer) - Prototype showing how to use Apache Fluo (https://fluo.apache.org/) to continuously merge multiple large graphs into a single derived one.

JavaScript

▐ For more awesome JavaScript libraries, see the Awesome JavaScript (https://github.com/sorrycc/awesome-javascript) list.

-   Cytoscape.js (https://js.cytoscape.org/) - Network analysis and visualization library.
-   d3.js (https://d3js.org/) - JavaScript visualization library that can plot force-directed graphs (http://bl.ocks.org/mbostock/4062045).
-   **d3-force: Force-directed graph layout** (https://github.com/d3/d3-force) using velocity Verlet integration.                                                  
-   **d3-vector: Define connections between nodes as directional vectors** (https://github.com/thepeoplesbourgeois/d3-vector), consisting of angles and magnitudes.
-   GENSI (http://www.tobiasstark.nl/GENSI/GENSI.htm) - JavaScript graphical tool to collect ego-centered network data (paper (https://doi.org/10.1016/j.socnet.2016.07.007)).
-   Gephi Lite (https://github.com/gephi/gephi-lite) - Web-based, lighter version of Gephi.
-   GoJS (https://gojs.net/) - Visualization library to draw diagrams and several types of network layouts.
-   Graphology (https://graphology.github.io/) - Specification and reference implementation for a robust and multipurpose JavaScript Graph object.
-   greuler (https://mauriciopoppe.github.io/greuler/) - Visualization library to build and manipulate graphs through a simple API. Powered by d3.js and WebCola (https://ialab.it.monash.edu/webcola/).
-   jLouvain (https://github.com/upphiminn/jLouvain) - Louvain community detection for Javascript (example (http://bl.ocks.org/emeeks/125db75c9b55ddcbdeb5)).
-   NetworkCube (https://github.com/networkcube/networkcube) - "Dynamic Network Visualizations for  Domain Scientists." For demo examples, see The Vistorian (https://networkcube.github.io/vistorian/).
-   Oligrapher (https://github.com/public-accountability/oligrapher) - Library initially developed to visualise "networks of influence" among U.S. elites (https://littlesis.org/).
-   Popoto.js (https://github.com/Nhogs/popoto) - Library based on d3.js that provides a graph based search interface.
-   Sigma (https://www.sigmajs.org/) - JavaScript library dedicated to graph drawing.
-   vis.js (https://visjs.org/) - JavaScript library with network visualization capabilities.
-   VivaGraphJS (https://github.com/anvaka/VivaGraphJS) - Graph drawing library (ForceAtlas2 plugin (https://github.com/graphcommons/viva.forceatlas2)).
-   viz.js (https://mdaines.github.io/viz.js/) - Use Graphviz in Web pages.

Julia

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

MATLAB

▐ See also the webweb tool listed in the Python (#python) section.

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

Python

▐ Many items below are from a Google spreadsheet (https://docs.google.com/spreadsheets/d/1vJILk2EW1JnR3YAwTSSqAV5mPkeXaezy45wOoafBpfU/edit#gid=0) by Michał Bojanowski and others.  
▐ See also Social Network Analysis with Python (https://www.youtube.com/watch?v=qgGqaBAEy3Q), a 3-hour tutorial by Maksim Tsvetovat and Alex Kouznetsov given at PyCon US 2012 (code 
▐ (https://github.com/maksim2042/PyCon2012)).  
▐ For more awesome Python packages, see the Awesome Python (https://github.com/vinta/awesome-python) and Awesome Python Books (https://github.com/Junnplus/awesome-python-books) lists.

-   bokeh (https://bokeh.org/) - Python library for interactive data visualization in the browser, with support for networks.
-   cdlib (https://github.com/GiulioRossetti/cdlib) - Python community detection library, with 60+ methods and evaluation/visualization features.
-   dash-cytoscape (https://github.com/plotly/dash-cytoscape) - Interactive network visualization library in Python, powered by Cytoscape.js and Dash
-   graph-tool (http://graph-tool.skewed.de/) - Python module for network manipulation and analysis, written mostly in C++ for speed.
-   graphviz (https://pypi.python.org/pypi/graphviz) - Python renderer for the DOT graph drawing language.
-   graspologic (https://github.com/microsoft/graspologic) - Python package for statistical algorithms, models, and visualization for single and multiple networks. 
-   **Tutorials on algorithms and models** (https://graspologic.readthedocs.io/en/latest/).
-   hiveplot (https://pypi.python.org/pypi/hiveplot) - Python utility for drawing networks as hive plots on matplotlib, a more comprehensive network visualization.
-   karateclub (https://github.com/benedekrozemberczki/karateclub) - Python package for unsupervised learning on graph structured data with a scikit-learn like API.
-   linkpred (https://github.com/rafguns/linkpred) - Assess the likelihood of potential links in a future snapshot of a network.
-   littleballoffur (https://github.com/benedekrozemberczki/littleballoffur) - Python package for sampling from graph structured data with a scikit-learn like API.
-   metaknowledge (http://networkslab.org/metaknowledge/) - Python package to turn bibliometrics data into authorship and citation networks.
-   networkx (https://networkx.org/) - Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
-   **Implementing an ERGM from Scratch in Python** (https://gist.github.com/dmasad/8509304), using networkx and numpy (2014).
-   **nxviz** (https://github.com/ericmjl/nxviz/) - Visualization package for NetworkX.                                       
-   nngt (https://nngt.readthedocs.io) - Library-agnostic graph generation and analysis that wraps around networkx, igraph and graph-tool). Includes normalized graph measures, advanced visualizations, 
(geo)spatial tools, and interfaces for neuroscience simulators.
-   npartite (https://github.com/ike002jp/npartite) - Python algorithms for community detection in n-partite networks.
-   PyGraphistry (https://github.com/graphistry/pygraphistry) - Python library to extract, transform, and visually explore big graphs.
-   python-igraph (http://igraph.org/python/) - Python version of the igraph network analysis package.
-   python-louvain (https://perso.crans.org/aynaud/communities/) - A solid implementation of Louvain community detection algorithm.
-   Raphtory (https://www.raphtory.com/) - A platform for building and analysing temporal networks.
-   scipy.sparse.csgraph (https://docs.scipy.org/doc/scipy/reference/sparse.csgraph.html#module-scipy.sparse.csgraph) - Fast graph algorithms based on sparse matrix representations.
-   Snap.py (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).
-   SnapVX (https://github.com/snap-stanford/snapvx) - A convex optimization solver for problems defined on a graph.
-   tnetwork (https://github.com/Yquetzal/tnetwork) - Python library for temporal networks, and dynamic community detection in particular.
-   TQ (Temporal Quantities) (http://vladowiki.fmf.uni-lj.si/doku.php?id=tq) - Python 3 library for temporal network analysis.
-   uunet (http://multilayer.it.uu.se/software.html) - Tools for multilayer social networks.
- **Related book and data** (http://multilayer.it.uu.se/). See `multinet` for the R version.
-   webweb (https://webwebpage.github.io/) - MATLAB/Python library to produce interactive network visualizations with d3.js.

R

▐ For more awesome R resources, see the Awesome R (https://github.com/qinwf/awesome-R) and Awesome R Books (https://github.com/RomanTsegelskyi/rbooks) lists. See also this Google spreadsheet 
▐ (https://docs.google.com/spreadsheets/d/1CoFGtrW85D9FsVcAE5-bcXVl6QOTncwXjFBYp4u2WgE/edit?usp=sharing) by Ian McCulloh and others.  
▐ To convert many different network model results into tidy data frames, see the broom (https://CRAN.R-project.org/package=broom) package. To convert many different network model results into LaTeX or HTML 
▐ tables, see the texreg (https://CRAN.R-project.org/package=texreg) package.

-   amen (https://CRAN.R-project.org/package=amen) - Additive and multiplicative effects models for relational data.
-   backbone (https://CRAN.R-project.org/package=backbone) - Provides methods for binarizing a weighted network retaining only significant edges.
- **Introduction to the backbone package** (https://arxiv.org/abs/1912.12779)
-   Bergm (https://CRAN.R-project.org/package=Bergm) - Tools to analyse Bayesian exponential random graph models (BERGM). Related Twitter: @BayesianSNA (https://twitter.com/BayesianSNA).
-   bipartite (https://CRAN.R-project.org/package=bipartite) - Functions to visualize bipartite (two-mode) networks and compute indices commonly used in ecological research. See also: levelnet R package.
-   blockmodeling (https://CRAN.R-project.org/package=blockmodeling) - Implementats generalized blockmodeling for valued networks.
-   bnlearn (https://CRAN.R-project.org/package=bnlearn) - Tools for Bayesian network learning and inference (http://www.bnlearn.com/) (related Shiny app (https://paulgovan.github.io/RiskNetwork)).
-   brainGraph (https://CRAN.R-project.org/package=brainGraph) - Tools for performing graph theory analysis of brain MRI data.
-   btergm (https://CRAN.R-project.org/package=btergm) - Tools to fit temporal ERGMs by bootstrapped pseudolikelihood. Also provides MCMC maximum likelihood estimation, goodness of fit for ERGMs, TERGMs, and 
stochastic actor-oriented models (SAOMs), and tools for the micro-level interpretation of ERGMs and TERGMs.
-   CCAS (https://github.com/matthewjdenny/CCAS) - Statistical model for communication networks.
-   concoR (https://github.com/aslez/concoR) - Implementation of the CONCOR network blockmodeling algorithm (blog post (http://badhessian.org/2015/05/concor-in-r/)).
-   ContentStructure (https://github.com/matthewjdenny/ContentStructure) - Implements an extension to the Topic-Partitioned Multinetwork Embeddings (TPME) model 
(http://dirichlet.net/pdf/krafft12topic-partitioned.pdf).
-   DiagrammeR (https://github.com/rich-iannone/DiagrammeR) - Connects R, RStudio and JavaScript libraries to draw graph diagrams (blog post 
(https://blog.rstudio.org/2015/05/01/rstudio-v0-99-preview-graphviz-and-diagrammer/)).
-   dodgr (https://CRAN.R-project.org/package=dodgr) - Computes distances on dual-weighted directed graphs, such as street networks, using priority-queue shortest paths.
-   edgebundle (https://github.com/schochastics/edgebundle) - Edge bundling algorithms, useful to e.g. draw networks of transport maps.
-   egor (https://CRAN.R-project.org/package=egor) - Tools for importing, analyzing and visualizing ego-centered network data, in various formats.
-   EpiModel (https://CRAN.R-project.org/package=EpiModel) - Tools for simulating mathematical models of infectious disease dynamics (presentation paper (https://doi.org/10.18637%2Fjss.v084.i08)).
-   ergm (https://CRAN.R-project.org/package=ergm) - Estimation of Exponential Random Graph Models (ERGMs).
-   **ERGM: edgecov and dyadcov Specifications** (http://mjh4.blogspot.com/2012/09/ergm-edgecov-and-dyadcov-specifications.html).
-   ergMargins (https://CRAN.R-project.org/package=ergMargins) - Process analysis for ERGMs.
-   ergmito (https://CRAN.R-project.org/package=ergmito) - ERGMs for small networks.
-   fergm (https://CRAN.R-project.org/package=fergm) - Frailty ERGMs.
-   GERGM (https://CRAN.R-project.org/package=GERGM) - Estimation and diagnosis of the convergence of Generalized Exponential Random Graph Models (GERGM).
-   geomnet (https://CRAN.R-project.org/package=geomnet) - Single-geometry approach to network visualization with ggplot2.
-   ggnetwork (https://CRAN.R-project.org/package=ggnetwork) - Multiple-geometries approach to plot network objects with ggplot2.
-   ggraph (https://CRAN.R-project.org/package=ggraph) - Grammar of graph graphics built in the spirit of ggplot2. See also: tidygraph R package.
-   goldfish (https://github.com/snlab-ch/goldfish) - Dynamic Network Actor-Oriented Model (DyNAM) for the statistical analysis of coordination networks through time.
-   graphlayouts (https://CRAN.R-project.org/package=graphlayouts) - Layout algorithms based on the concept of stress majorization (https://doi.org/10.1007/978-3-540-31843-9_25).
-   **Introducing graphlayouts with Game of Thrones** (http://blog.schochastics.net/post/introducing-graphlayouts-with-got/).
-   **Network Visualizations in R using ggraph and graphlayouts** (https://mr.schochastics.net/material/netVizR/).           
-   hergm (https://CRAN.R-project.org/package=hergm) - Estimate and simulate hierarchical exponential-family random graph models (HERGM) with local dependence.
-   hierformR (https://CRAN.R-project.org/package=hierformR) – Determine paths and states that social networks develop over time to form social hierarchies.
-   igraph (http://igraph.org/r/) - A collection of network analysis tools.
-   **Network Analysis and Visualization with R and igraph** (http://kateto.net/networks-r-igraph) (2016).
-   influenceR (https://CRAN.R-project.org/package=influenceR) - Compute various node centrality network measures by Burt, Borgatti and others.
-   keyplayer (https://CRAN.R-project.org/package=keyplayer) - Implements several network centrality measures.
-   latentnet (https://CRAN.R-project.org/package=latentnet) - Latent position and cluster models for network objects.
-   levelnet (https://github.com/schochastics/levelnet) - Experimental package to analyze one-mode projections of bipartite (two-mode) networks. See also: bipartite R package.
-   lpNet (https://www.bioconductor.org/packages/release/bioc/html/lpNet.html) - Linear programming model aimed at infering biological (signalling, gene) networks.
-   mlergm (https://cran.r-project.org/package=mlergm) - Multilevel Exponential-Family Random Graph Models, to model nodes nested within known blocks.
-   multigraph (https://cran.r-project.org/package=multigraph) - Functions to build and visualize all sorts of multigraphs.
-   multigraphr (https://cran.r-project.org/package=multigraphr) - Random multigraph models, statistics of multigraph properties, and goodness of fit tests.
-   multinet (https://CRAN.R-project.org/package=multinet) - Tools for multilayer social networks.
- **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.
-   multinets (https://cran.r-project.org/package=multinets) - Package to handle multilevel networks in igraph.
-   migraph (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.
-   ndtv (https://CRAN.R-project.org/package=ndtv) - Tools to construct animated visualizations of dynamic network data in various formats.
-   neo4r (https://github.com/neo4j-rstats/neo4r) - Neo4J driver for R.
-   networkD3 (https://christophergandrud.github.io/networkD3/) - Create d3.js network graphs from R.
-   netdiffuseR (https://CRAN.R-project.org/package=netdiffuseR) - Tools to analyze the network diffusion of innovations.
-   netrankr (https://CRAN.R-project.org/package=netrankr) - Up-to-date collection of network centrality indices, with lots of documentation.
-   **Network Centrality in R: An Introduction** (http://blog.schochastics.net/post/network-centrality-in-r-introduction/) - Includes a review of relevant R packages. 
-   **Network Centrality in R: Neighborhood Inclusion** (http://blog.schochastics.net/post/network-centrality-in-r-neighborhood-inclusion/).                           
-   **Network Centrality in R: New Ways of Measuring Centrality** (http://blog.schochastics.net/post/network-centrality-in-r-new-ways-of-measuring-centrality/) (2018).
-   netseg (https://mbojan.github.io/netseg/) - Various measures of network segregation and homophily.
-   NetSim (http://www.christoph-stadtfeld.com/netsim/) - Simulate and combine micro-models to research their impact on the macro-features of social networks.
-   netUtils (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.
-   network (https://CRAN.R-project.org/package=network) - Basic tools to manipulate relational data in R.
-   networkdata (https://github.com/schochastics/networkdata) - Includes 979 network datasets containing 2135 networks.
-   networkdiffusion (https://github.com/chengjun/networkdiffusion) - Simulate and visualize basic epidemic diffusion in networks.
-   networkDynamic (https://CRAN.R-project.org/package=networkDynamic) - Support for dynamic, (inter)temporal networks.
-   networksis (https://CRAN.R-project.org/package=networksis) - Tools to simulate bipartite networksgraphs with the degrees of the nodes fixed and specified.
-   PAFit (https://CRAN.R-project.org/package=PAFit) - Nonparametric estimation of preferential attachment and node fitness in temporal complex networks.
-   PCIT (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.
-   RCy3 (https://bioconductor.org/packages/3.3/bioc/html/RCy3.html) - Interface between R and recent versions of Cytoscape.
-   RCyjs (https://bioconductor.org/packages/release/bioc/html/RCyjs.html) - Interface between R and Cytoscape.js.
-   qgraph (https://CRAN.R-project.org/package=qgraph) - Tools to model and visualize psychometric networks; also aimed at weighted graphical models).
-   **Network Model Selection Using qgraph 1.3** (http://psychosystems.org/network-model-selection-using-qgraph-1-3-10/) (2014).     
-   **qgraph Examples** (http://sachaepskamp.com/qgraph/examples).                                                                   
-   **qgraph: Network Visualizations of Relationships in Psychometric Data** (https://www.jstatsoft.org/article/view/v048i04) (2012).
-   relevent (https://CRAN.R-project.org/package=relevent) - Tools to fit relational event models (REM).
-   **informR** (https://CRAN.R-project.org/package=informR) - Tools to create sequence statistics from event lists to be used in `relevent`.
-   rem (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.
-   rgexf (https://CRAN.R-project.org/package=rgexf) - Export network objects from R to GEXF for manipulation with software like Gephi or Sigma.
-   Rgraphviz (https://bioconductor.org/packages/release/bioc/html/Rgraphviz.html) - Support for using the Graphviz library and its DOT graph drawing language from within R.
-   RSiena (http://r-forge.r-project.org/R/?group_id=461) - Simulation Investigation for Empirical Network Analysis; fits models to longitudinal network data.
-   signnet (http://signnet.schochastics.net/) Methods to analyse signed networks (structural balance, blockmodeling, centrality, etc.).
-   sna (https://CRAN.R-project.org/package=sna) - Basic network constructors, measures and visualization tools.
-   snahelper (https://CRAN.R-project.org/package=snahelper) - RStudio addin which provides a GUI to visualize and analyse networks
- **Introduction to snahelper (Part 1)** (http://blog.schochastics.net/post/an-rstudio-addin-for-network-analysis-and-visualization/)
- **Introduction to snahelper (Part 2)** (http://blog.schochastics.net/post/new-rstudio-addins-for-network-analysis/)                
-   SocialMediaLab (https://CRAN.R-project.org/package=SocialMediaLab) - Tools for collecting social media data and generating networks from it (companion website (http://vosonlab.net/SocialMediaLab), github 
repo (https://github.com/voson-labSocialMediaLab)).
-   spectralGOF (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.
-   spnet (https://CRAN.R-project.org/package=spnet) - Methods for visualizing spatial networks on maps in the sp class.
-   spNetwork (https://CRAN.R-project.org/package=spNetwork) - Methods for spatial network analysis, including e.g. kernel density estimation, distances and point pattern analysis.
-   statnet (https://statnet.org/) - The project behind many R network analysis packages (mailing-list (https://mailman13.u.washington.edu/mailman/listinfo/statnet_help), tutorials/workshops 
(https://statnet.org/workshops/)).
-   **Exponential Random Graph Models (ERGMs) Using statnet** (https://statnet.org/workshop-ergm/ergm_tutorial.html) (2022).
-   **Guides for Using the statnet Package** (http://www.melissaclarkson.com/resources/R_guides/) (2010).                   
-   **Modeling Valued Networks with statnet** (https://statnet.org/workshop-valued/valued.html) (2022).                     
-   tergm (https://CRAN.R-project.org/package=tergm) - Fit, simulate and diagnose models for temporal exponential-family random graph models (TERGM).
-   tidygraph (https://CRAN.R-project.org/package=tidygraph) - ‘Tidy’ approach to building graph structures. See also: ggraph R package.
-   **Introducing tidygraph** (https://www.data-imaginist.com/2017/introducing-tidygraph/)                                                                        
-   **Tidying up your network analysis with tidygraph and ggraph** (https://posit.co/resources/videos/tidying-up-your-network-analysis-with-tidygraph-and-ggraph/)
-   tnam (https://CRAN.R-project.org/package=tnam) - Tools to fit temporal and cross-sectional network autocorrelation models (TNAM).
-   tnet (https://CRAN.R-project.org/package=tnet) - Network measures for weighted, two-mode and longitudinal networks.
-   tsna (https://CRAN.R-project.org/package=tsna) - Tools for temporal social network analysis.
-   visNetwork (https://github.com/DataKnowledge/visNetwork) - Using vis.js library for network visualization.
-   xergm (https://CRAN.R-project.org/package=xergm) - Extensions of exponential random graph models (ERGM, GERGM, TERGM, TNAM and REM).

Stata

-   nwcommands: Network Analysis Using Stata (https://nwcommands.wordpress.com/) (discussion 
(http://www.statalist.org/forums/forum/general-stata-discussion/general/1290963-network-analysis-which-command-to-use), tutorials and slides (https://nwcommands.wordpress.com/tutorials-and-slides/)).
-   SNA with Stata (http://www.rensecorten.org/index.php/category/sna-with-stata/) - Blog documenting the use of the netplot Stata package.

Syntaxes

▐ Generic graph syntaxes intended for use by several programs.

-   DOT (http://www.graphviz.org/doc/info/lang.html) - Graph drawing syntax used by the Graphviz software.
-   GEXF (https://gexf.net) - File format used by the Gephi software.
-   GraphML (http://graphml.graphdrawing.org/) - Comprehensive and easy-to-use file format for graphs (handbook chapter (https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/BrEiLe10.pdf)).
-   JGraphT (https://jgrapht.org/) - Java graph library for graph data structures and algorithms (example algorithms (https://github.com/agouge/Java-Network-Analyzer)).
-   JUNG - Java Universal Network/Graph Framework (https://jung.sourceforge.net/) - Extensible library to represent network objects.
-   PGF/TikZ (http://www.ctan.org/tex-archive/graphics/pgf/) - Tandem (https://en.wikipedia.org/wiki/PGF/TikZ) of vector graphics languages that can be used to draw graphs in the LaTeX 
(https://latex-project.org/) typesetting environment.
-   **Awesome LaTeX: TiKZ** (https://github.com/egeerardyn/awesome-LaTeX#tikz).                                        
-   **How to Draw Graphs in LaTeX?** (https://tex.stackexchange.com/questions/57152/how-to-draw-graphs-in-latex)       
-   **TikZ Graph Examples** (http://www.texample.net/tikz/examples/tag/graphs/).                                       
-   **TikZ & PGF Manual** (http://distrib-coffee.ipsl.jussieu.fr/pub/mirrors/ctan/graphics/pgf/base/doc/pgfmanual.pdf).
-   **TKZ** (http://altermundus.com/pages/tkz/index.html) - Packages based on TikZ.                                    
-   TLP - Tulip Software Graph Format (http://tulip.labri.fr/TulipDrupal/?q=tlp-file-format) - Graph syntax used by the Tulip software framework.
-   Cypher (http://neo4j.com/docs/stable/cypher-query-lang.html) - Graph query language used by Neo4j (http://neo4j.com/).

Tutorials

▐ Tutorials that are not focused on a single specific software package or program.

-   Basic and Advanced Network Visualization with Gephi and R (http://kateto.net/sunbelt2016) (2016).
-   Basic Network Analysis in R using igraph and related packages (https://mr.schochastics.net/material/netAnaR/) (2022).
-   Interactive and Dynamic Network Visualization in R (http://curleylab.psych.columbia.edu/netviz/) and JavaScript libraries (2016).
-   Nodegoat and Palladio: Introductory Workshop (https://www.academia.edu/11450425/Nodegoat_and_Palladio_Introductory_Workshop_by_Emmanuelle_Chaze) - Aimed at humanists (2015).
-   Static and Dynamic Network Visualization with R (http://kateto.net/network-visualization) - Covers the igraph, network, ggraph, network, networkD3, ndtv, threejs and visNetwork packages (2019).

Varia

▐ Resources that do not fit in other categories.

-   +100 herramientas para el análisis de redes sociales (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.
-   Awesome graph classification (https://github.com/benedekrozemberczki/awesome-graph-classification) - Comprehensive list of graph embedding papers with title, authors, link to the paper and reference 
implementation.
-   Awesome community detection (https://github.com/benedekrozemberczki/awesome-community-detection) - Comprehensive list of community detection papers with title, authors, link to the paper and reference 
implementation.
-   Centrality Measures as a Signature of Roles in Rousseau’s _Les Confessions_ (http://yro.ch/centrality-measures-signature-roles-rousseaus-les-confessions/) - Analysis of a real-world character network.
-   Cheat Sheet: Social Network Analysis for Humanists (https://cvcedhlab.hypotheses.org/106) - Basic notions to remember when assembling and manipulating network data.
-   Computer Technologies for the Historical Research of Intellectual Networks (https://www.youtube.com/playlist?list=PLz79Il7EOvUJxdQ9r2IefFtr--BNkfOa7) - Series of videos by historians, featuring Marten Düring
and Scott Weingart.
-   Convert Between Graph Formats (http://awesome.cs.jhu.edu/graph-services/convert/) - Online service to convert from/to many different common graph formats.
-   David Knoke on Network Analysis (https://thesocietypages.org/methods/2015/01/30/david-knoke-on-network-analysis/) - 20-minute interview that discusses the uses and benefits of network analysis, drawing upon 
Knoke’s research on terrorist networks.
-   Glossary of Terms for Statistical Network Models (https://statnet.org/trac/raw-attachment/wiki/Resources/glossary.pdf).
-   Linton C. Freeman’s Social Network Research Publications (http://moreno.ss.uci.edu/pubs.html), spanning from 1955 to today.
-   Mapping the Republic of Letters (http://republicofletters.stanford.edu/) - Research project on early-modern scholarship (underlying software (http://www.densitydesign.org/research/knot/)).
-   Mixed-Method Approaches to Social Network Analysis (https://www.youtube.com/playlist?list=PL3zdEY084WkQD79mR00RSt8j5RuyPwMJE) - Videos of a conference at the Middlesex University School of Law (2014).
-   Modeling Complex Social Networks: Challenges and Opportunities for Statistical Learning and Inference (https://www.youtube.com/watch?v=1xLjYc7EUEU) - Video of a seminar talk by Jennifer Neville at Purdue 
University (2011).
-   NetSciEd - Network Science in Education (https://sites.google.com/a/binghamton.edu/netscied/home) - International initiative aimed at improving network literacy.
-   (@) Network Fact (https://twitter.com/networkfact) - Twitter account on networks, graph theory, and related topics.
-   Network Map of Knowledge and Art (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.
-   (@) Network Science (https://twitter.com/Ognyanova/lists/network-science/members) - A thematic list of Twitter accounts, curated by Katherine Ognyanova (https://twitter.com/Ognyanova).
-   The Networks Network (https://groups.google.com/forum/?hl=en-GB#!forum/the-networks-network) - Mailing-list (mostly historians from the HNR network).
-   New Perspectives for Relational Learning (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).
-   Open Graph protocol (http://ogp.me/) - A proposed standard to turn any Web page into a “social graph object.”
-   Periodic Table of Network Centrality (http://schochastics.net/sna/periodic.html) - Interactive periodic table of centrality indices.
-   Picking Sides (https://codeandculture.wordpress.com/2015/04/03/picking-sides/) - Community detection in the political network of Middle Eastern alliances between various state and nonstate powers (updated 
version (https://gist.github.com/briatte/c6df2f855afb4eb142e6)).

-   Psych Networks (http://psych-networks.com/) - Website with news, references and tutorials (https://psych-networks.com/tutorials/) about network modeling for psychological data.
  - Tutorial Paper on New Methods for Estimating Psychological Networks (http://psych-networks.com/tutorial-paper-new-methods-estimating-psychological-networks/).
-   (Psychological) Network Analysis Workshops (https://osf.io/6axte/) - 3-day workshop on psychological network analysis using R (2019).
-   Should I do Social Network Analysis? (https://cvcedhlab.hypotheses.org/125).
-   The Small World of Psychopathology (http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0027407) - Paper on how psychiatric symptoms connec to each other (code, data and graphs 
(https://sites.google.com/site/dsmgraphs/Home/files)).
-   Social Network Analysis in DBpedia (http://othes.univie.ac.at/12285/1/2010-10-14_0703857.pdf) - Highly didactic Master’s dissertation, showing how to use SPARQL and Pajek.
-   SNA-DE Mailing-List (https://dlist.server.uni-frankfurt.de/mailman/listinfo/sna-de), in German.
-   SPARQL for R Tutorial - Hollywood Social Network Analysis (http://semanticweb.cs.vu.nl/R/sparql_hollywood/sparql_hollywood.html) - Also uses Gephi.
-   A Sociology Citation Network (http://nealcaren.web.unc.edu/a-sociology-citation-network/) and A Co-citation Network for Philosophy 
(https://kieranhealy.org/blog/archives/2013/06/18/a-co-citation-network-for-philosophy/) - Examples of scientific co-citation networks.
-   Using Metadata to Find Paul Revere (https://kieranhealy.org/blog/archives/2013/06/09/using-metadata-to-find-paul-revere/) and The Other Ride of Paul Revere: The Brokerage Role in the Making of the American 
Revolution (http://www.sscnet.ucla.edu/polisci/faculty/chwe/ps269/han.pdf) - Network analysis applied to American revolutionaries.
-   Visual Complexity. An Exploration on Mapping Complex Networks (http://www.visualcomplexity.com/vc/) - Tons of beautiful network and tree visualizations (book (http://www.visualcomplexity.com/vc/book/), also 
in Chinese and French).
-   Visualizing Historical Networks (https://histecon.fas.harvard.edu/visualizing/index.html) - Historical network research projects at Harvard University.
-   **Angoulême in 1764** (https://histecon.fas.harvard.edu/visualizing/angouleme/index.html).                                          
-   **Economists in Cambridge** (https://histecon.fas.harvard.edu/visualizing/graphing/economists.html).                                
-   **The Inner Life of Empires: An Eighteenth Century History** (https://histecon.fas.harvard.edu/visualizing/graphing/innerlife.html).

Blog Series

▐ Series of blog posts on network topics.  

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

Fictional Networks

▐ Explorations of fictional character networks.

-   Analyzing Networks of Characters in _Love Actually_ (http://varianceexplained.org/r/love-actually-network/) - Features a cluster analysis and a Shiny app (https://dgrtwo.shinyapps.io/love-actually-network/) 
(using R + Shiny).
-   Character Co-Occurrences in Victor Hugo’s _Les Misérables_ (https://docs.bokeh.org/en/latest/docs/examples/topics/categorical/les_mis.html), plotted as an adjacency matrix, written in Python (+ Javascript).

-   Lessons on Exponential Random Graph Modeling from _Grey’s Anatomy_ hook-ups (http://badhessian.org/2012/09/lessons-on-exponential-random-graph-modeling-from-greys-anatomy-hook-ups/) (using R).
-   Network Analysis of Shakespeare’s _Macbeth_ (https://mboudour.github.io/2015/10/28/Shakespeare's-Macbeth-Network.html) (using Python).
-   The Network and Trajectories of Transitions among Sentential Co-Occurrences of Characters of Arthur Conan Doyle’s _A Study in Scarlet_ 
(https://mboudour.github.io/2016/04/17/Arthur-Conan-Doyle's-A-Study-in-Scarlet-Network-&-Trajectories.html) (using Python; code 
(https://github.com/mboudour/WordNets/blob/master/ArthurConanDoyle_AStudyInScarlet_Network%26Trajectories.ipynb)).
-   Network Visualization: Mapping Shakespeare’s Tragedies (https://www.martingrandjean.ch/network-visualization-shakespeare/).
-   Social Network Analysis of _Alice in Wonderland_ (https://aclanthology.org/W12-2513/).
-   _Star Wars_ Social Networks: The Force Awakens (http://evelinag.com/blog/2016/01-25-social-network-force-awakens/index.html) - Also an example of a social network analysis written in F#.
-   Universal Properties of Mythological Networks (https://doi.org/10.1209/0295-5075/99/28002) (preprint (https://arxiv.org/abs/1205.4324)).

Network Science

▐ Discussions of what “netsci” is about and means for other scientific disciplines.

-   Editing a Normal Science Journal in Social Science (https://journals.openedition.org/bms/595) - Reflections on the _Social Networks_ journal by its founding editor.
-   The Emergence of Network Science (https://www.cornell.edu/video/emergence-of-network-science) - Video documentary, featuring Steven H. Strogatz and many others.
-   From Albert-László Barabási’s review articles (https://barabasi.com/publications/1/review-articles):
-   **Taming Complexity** (https://barabasi.com/f/182.pdf).   
-   **The Network Takeover** (https://barabasi.com/f/362.pdf).
-   The Invasion of the Physicists (https://doi.org/10.1016/j.socnet.2004.06.002) - How “network _science_” came up.
-   Isolated Social Networkers (https://crookedtimber.org/2005/05/19/isolated-social-networkers/), Networks and Netwars (http://bactra.org/weblog/347.html) and The Inter-Disciplinary Politics of 
Interdisciplinary Research or, “Hey, That Was My Idea First.” (https://www.cs.unm.edu/~aaron/blog/archives/2005/05/the_interdiscip.htm) - Series of blog posts that predate the advent of “network science” as a 
buzzword, but that touch upon the same issues as those now being discussed under that heading.
-   The ‘New’ Science of Networks (https://www.jstor.org/stable/29737693) - Review of network science books published in 2002-2003.
-   Predicting Highly Cited Papers (https://arxiv.org/abs/1310.8220) - Prediction of the next highly cited papers in network science.
-   Social Network and Network Science Co-Citations Across Disciplines in 1996-2013 (https://github.com/raffaelevacca/EUSN-co-citation-networks).
-   Three Hard Questions about Network Science (http://environmentalpolicy.ucdavis.edu/node/292).
-   A Twenty-First Century Science (http://www.nature.com/nature/journal/v445/n7127/full/445489a.html) - Essay by Duncan J. Watts.
-   What is Network Science? (http://journals.cambridge.org/repo_A88Sa8AHdt4SoI) - First editorial of the recent _Network Science_ journal.

Small Worlds

▐ Links focused on (analogues to) Stanley Milgram’s small-world experiment (https://en.wikipedia.org/wiki/Small-world_experiment).

-   The Erdös Number Project (http://wwwp.oakland.edu/enp/) - Research project on the collaborative ties and network distance between mathematicians.
-   How Small is the World, Really? (https://medium.com/@duncanjwatts/how-small-is-the-world-really-736fa21808ba#.kyr90lhyo) - Discussion of “_x_ degrees of separation” small-world experiments.
-   The Oracle of Bacon (https://oracleofbacon.org/) - Based on an online game (https://en.wikipedia.org/wiki/Six_Degrees_of_Kevin_Bacon) that resulted in a charity (http://www.sixdegrees.org/).
-   Panel: Six Degrees of Separation (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.
-   Patterns in the Ivy: The Small World of Metal (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.
-   Six Degrees of Francis Bacon (http://sixdegreesoffrancisbacon.com/) - Interactive visualization of a well-documented early modern historical network.
-   Six Degrees of Separation (https://en.wikipedia.org/wiki/Six_degrees_of_separation) - Wikipedia English entry.

Two-Mode Networks

▐ Also known as bipartite graphs.

-   L’analyse des graphes bipartis (https://shs.hal.science/halshs-00794976), in French (2013).
-   Basic Notions for the Analysis of Large Two-mode Networks (https://doi.org/10.1016/j.socnet.2007.04.006)  (preprint (https://www-complexnetworks.lip6.fr/~latapy/Publis/socnet07.pdf), related code 
(https://www-complexnetworks.lip6.fr/~latapy/Bip/); _Social Networks_, 2008).
-   Fitting Large Signed Two-mode Blockmodels: Problems and Prospects (http://patrickdoreian.com/wp-content/uploads/2017/12/large-signed-2mode-networks_UNGA.pdf).
-   Generalized Blockmodeling of Two-mode Network Data (https://doi.org/10.1016/j.socnet.2004.01.002) (preprint (http://vlado.fmf.uni-lj.si/pub/networks/doc/preprint/TwoMode.pdf)).
-   Generalized Two-Mode Cores (https://doi.org/10.1016/j.socnet.2015.04.001).
-   Partitioning Signed Two-Mode Networks (http://patrickdoreian.com/wp-content/uploads/2017/12/partitioning-signed-social-networks.pdf).
-   Working with Bipartite/Affiliation Network Data in R (https://solomonmessing.wordpress.com/2012/09/30/working-with-bipartiteaffiliation-network-data-in-r/) (2012).

⟡  

License

!CC0 (http://i.creativecommons.org/p/zero/1.0/88x31.png) (http://creativecommons.org/publicdomain/zero/1.0/)

To the extent possible under law, the authors of this list – by chronological order: François Briatte (https://f.briatte.org/), 
Ian McCulloh (https://www.linkedin.com/in/mcculloh), 
Aditya Khanna (https://vivo.brown.edu/display/akhann16), 
Manlio De Domenico (https://manliodedomenico.com/), 
Patrick Kaminski, 
Ericka Menchen-Trevino (https://erickaakcire.github.io/), 
Tam-Kien Duong (https://github.com/taniki), 
Jeremy Foote (https://github.com/jdfoote), 
Catherine Cramer (http://nysci.org/nysci_people/catherine-cramer/), 
Andrej Mrvar (http://mrvar.fdv.uni-lj.si/), 
Patrick Doreian (http://patrickdoreian.com/), 
Vladimir Batagelj (http://vladowiki.fmf.uni-lj.si/doku.php?id=vlado), 
Eric C. Jones, 
Alden S. Klovdahl, 
James Fairbanks (http://www.jpfairbanks.net/), 
Danielle Varda (http://www.ucdenver.edu/academics/colleges/SPA/FacultyStaff/Faculty/Pages/DanielleVarda.aspx), 
Andrew Pitts (https://twitter.com/andpitts), 
Roman Bartusiak (https://github.com/riomus), 
Koustuv Sinha (https://koustuvsinha.com/), 
Mohsen Mosleh (http://mohsenmosleh.com/), 
Sandro Sousa (https://github.com/sandrofsousa), 
Jean-Baptiste Pressac (https://github.com/JBPressac), 
Patrick Connolly (https://github.com/patcon), 
Hristo Georgiev (https://hristog.github.io/), 
Tiago Azevedo (http://github.com/tjiagoM), 
Luis Miguel Montilla (https://twitter.com/luismmontilla), 
Keith Turner (https://github.com/keith-turner), 
Sandra Becker (https://github.com/sandravizmad), 
Benedek Rozemberczki (https://github.com/benedekrozemberczki), 
Xing Han Lu (https://xinghanlu.com/), 
Vincent Labatut (https://cv.hal.science/vlabatut), 
David Schoch (https://www.mr.schochastics.net/), 
Jaewon Chung (https://github.com/j1c), 
Benedek Rozemberczki (https://github.com/benedekrozemberczki), 
Alex Loftus (https://github.com/loftusa), 
Arun (https://github.com/arunppsg), 
Filippo Menczer (https://cnets.indiana.edu/fil/), 
Marc Schiller (https://github.com/m4rcs), 
Tanguy Fardet (https://tfardet.srht.site/), 
Bernhard Bieri (https://bernhardbieri.ch/), 
Rémy Cazabet (https://github.com/Yquetzal), 
Jeremy Gelb (https://github.com/JeremyGelb) and 
Mathieu Bastian (https://github.com/mbastian) - 
have waived all copyright and related or neighboring rights to this work.

Thanks to Robert J. Ackland (https://github.com/rjackland), 
Laurent Beauguitte (https://cv.hal.science/laurent-beauguitte), 
Patrick Connolly (http://nodescription.net/), 
Michael Dorman (https://geobgu.xyz/), 
Colin Fay (https://colinfay.me/), 
Marc Flandreau (https://www.history.upenn.edu/people/faculty/marc-flandreau), 
Eiko Fried (https://eiko-fried.com/), 
Christopher Steven Marcum (https://cmarcum.github.io/), 
Wouter de Nooy (https://www.uva.nl/profiel/n/o/w.denooy/w.denooy.html), 
Katya Ognyanova (https://kateto.net/), 
Rahul Padhy (https://github.com/rahul-38-26-0111-0003), 
Camille Roth (https://camilleroth.github.io/), 
Claude S. Fischer (https://sociology.berkeley.edu/faculty/claude-s-fischer), 
Cosma Shalizi (https://www.stat.cmu.edu/~cshalizi/), 
Tom A.B. Snijders (https://www.stats.ox.ac.uk/~snijders/), 
Chris Watson (https://profiles.bu.edu/Christopher.Watson) and Tim A. Wheeler (https://github.com/tawheeler), who helped locating some of the awesome resources featured in this list.