2993 lines
149 KiB
HTML
2993 lines
149 KiB
HTML
<h1 id="awesome-network-analysis-awesome-doi">Awesome Network Analysis
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<a href="https://github.com/sindresorhus/awesome"><img
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src="https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg"
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alt="Awesome" /></a> <a
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href="https://doi.org/10.5281/zenodo.7869481"><img
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src="https://zenodo.org/badge/DOI/10.5281/zenodo.7869481.svg"
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alt="DOI" /></a></h1>
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<p>An <a href="https://github.com/sindresorhus/awesome">awesome list</a>
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of resources to construct, analyze and visualize network data.</p>
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<p>Inspired by <a
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href="https://github.com/ChristosChristofidis/awesome-deep-learning">Awesome
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Deep Learning</a>, <a
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href="https://github.com/rossant/awesome-math">Awesome Math</a> and
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others. Started in 2016, and irregularly updated since then.</p>
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<p><a
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href="http://www.maths.tcd.ie/~mnl/store/AdamicGlance2004a.pdf"><img
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src="https://raw.githubusercontent.com/briatte/awesome-network-analysis/master/illustration.png"
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alt="Adamic and Glance’s network of political blogs, 2004." /></a></p>
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<blockquote>
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<p>Network of U.S. political blogs by <a
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href="https://dl.acm.org/citation.cfm?doid=1134271.1134277">Adamic and
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Glance (2004)</a> (<a
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href="http://www.maths.tcd.ie/~mnl/store/AdamicGlance2004a.pdf">preprint</a>).</p>
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</blockquote>
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<p><strong>Note:</strong> searching for ‘@’ will return all Twitter
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accounts listed on this page.</p>
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<h2 id="contents">Contents</h2>
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<ul>
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<li><strong><a href="#books">Books</a></strong>
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<ul>
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<li><a href="#classics">Classics</a></li>
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<li><a href="#dissemination">Dissemination</a></li>
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<li><a href="#general-overviews">General Overviews</a></li>
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<li><a href="#graph-theory">Graph Theory</a></li>
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<li><a href="#method-specific">Method-specific</a></li>
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<li><a href="#software-specific">Software-specific</a></li>
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<li><a href="#topic-specific">Topic-specific</a></li>
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</ul></li>
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<li><strong><a href="#conferences">Conferences</a></strong></li>
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<li><strong><a href="#courses">Courses</a></strong></li>
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<li><strong><a href="#datasets">Datasets</a></strong></li>
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<li><strong><a href="#journals">Journals</a></strong></li>
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<li><strong><a href="#professional-groups">Professional
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groups</a></strong>
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<ul>
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<li><a href="#research-groups-usa">Research Groups (USA)</a></li>
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<li><a href="#research-groups-other">Research Groups (Other)</a></li>
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</ul></li>
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<li><strong><a href="#review-articles">Review Articles</a></strong>
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<ul>
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<li><a href="#archeological-and-historical-networks">Archeological and
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Historical Networks</a></li>
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<li><a
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href="#bibliographic-citation-and-semantic-networks">Bibliographic,
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Citation and Semantic Networks</a></li>
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<li><a href="#biological-ecological-and-disease-networks">Biological,
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Ecological and Disease Networks</a></li>
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<li><a href="#complex-networks">Complex Networks</a></li>
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<li><a href="#ethics-of-network-analysis">Ethics of Network
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Analysis</a></li>
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<li><a href="#network-modeling">Network Modeling</a></li>
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<li><a href="#network-visualization">Network Visualization</a></li>
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<li><a href="#social-economic-and-political-networks">Social, Economic
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and Political Networks</a></li>
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</ul></li>
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<li><strong><a href="#selected-papers">Selected Papers</a></strong></li>
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<li><strong><a href="#software">Software</a></strong>
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<ul>
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<li><a href="#algorithms">Algorithms</a></li>
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<li><a href="#c--c">C / C++</a></li>
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<li><a href="#java">Java</a><br />
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</li>
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<li><a href="#javascript">JavaScript</a></li>
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<li><a href="#julia">Julia</a></li>
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<li><a href="#matlab">MATLAB</a></li>
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<li><a href="#python">Python</a></li>
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<li><a href="#r">R</a></li>
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<li><a href="#stata">Stata</a></li>
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<li><a href="#syntaxes">Syntaxes</a></li>
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<li><a href="#tutorials">Tutorials</a></li>
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</ul></li>
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<li><strong><a href="#varia">Varia</a></strong>
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<ul>
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<li><a href="#blog-series">Blog Series</a></li>
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<li><a href="#fictional-networks">Fictional Networks</a></li>
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<li><a href="#network-science">Network Science</a></li>
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<li><a href="#small-worlds">Small Worlds</a></li>
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<li><a href="#two-mode-networks">Two-Mode Networks</a></li>
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</ul></li>
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<li><strong><a href="CONTRIBUTING.md">Contributing
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Guidelines</a></strong></li>
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<li><strong><a href="#license">License</a></strong></li>
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</ul>
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<h2 id="books">Books</h2>
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<h3 id="classics">Classics</h3>
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<ul>
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<li><em><a href="https://f.briatte.org/temp/sampson1968.pdf">A Novitiate
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in a Period of Change: An Experimental and Case Study of Social
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Relationships</a></em>, by Samuel F. Sampson (unpublished PhD
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dissertation, 1968).</li>
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<li><em><a
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href="https://uk.sagepub.com/en-gb/eur/social-network-analysis/book249668">Social
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Network Analysis</a></em>, by John Scott (2017).</li>
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<li><em><a
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href="http://www.cambridge.org/ar/academic/subjects/sociology/sociology-general-interest/social-network-analysis-methods-and-applications">Social
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Network Analysis. Methods and Applications</a></em>, by Stanley
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Wasserman and Katherine Faust (1994).</li>
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<li><em><a href="http://press.princeton.edu/titles/8114.html">The
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Structure and Dynamics of Networks</a></em>, edited by Mark E.J. Newman,
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Albert-László Barabási and Duncan J. Watts - 600 pages of classic
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network analysis articles (2006).</li>
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</ul>
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<h3 id="dissemination">Dissemination</h3>
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<blockquote>
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<p>Accessible introductions aimed at non-technical audiences.</p>
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</blockquote>
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<ul>
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<li><em><a href="http://www.connectedthebook.com/">Connected: The
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Surprising Power of Our Social Networks and How They Shape Our
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Lives</a></em>, by Nicholas A. Christakis and James H. Fowler
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(2009).</li>
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<li><em><a href="https://barabasi.com/book/linked">Linked: The New
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Science of Networks</a></em>, by Albert-László Barabási (2002).</li>
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<li><em><a
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href="https://sites.google.com/a/binghamton.edu/netscied/teaching-learning/network-concepts">Network
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Literacy: Essential Concepts and Core ideas</a></em>, by the NetSciEd
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team (c. 2016) - Available in several languages (<a
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href="https://academic.oup.com/comnet/article-abstract/4/3/457/1745356">paper</a>).</li>
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<li><em><a href="http://books.wwnorton.com/books/Nexus/">Nexus. Small
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Worlds and the Groundbreaking Theory of Networks</a></em>, by Mark
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Buchanan (2003).</li>
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<li><em><a
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href="http://books.wwnorton.com/books/detail.aspx?ID=7599">Six Degrees:
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The Science of a Connected Age</a></em>, by Duncan J. Watts (2003).</li>
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</ul>
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<h3 id="general-overviews">General Overviews</h3>
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<ul>
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<li><em><a href="https://hal.science/hal-04052709">L’analyse de réseau
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en sciences sociales. Petit guide pratique</a></em>, by Laurent
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Beauguitte, in French (2023). <a
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href="https://beauguitte.github.io/analyse-de-reseau-en-shs/">Readable
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online</a>.</li>
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<li><em><a href="https://www.networkatlas.eu/">The Atlas for the
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Aspiring Network Scientist</a></em>, by Michele Coscia (2021).</li>
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<li><em><a
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href="http://sk.sagepub.com/reference/socialnetworks">Encyclopedia of
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Social Networks</a></em>, edited by George A. Barnett - Covers all sorts
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of network-related themes (many of them not formal) as well as social
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network analysis (2011).</li>
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<li><em><a
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href="https://www.springer.com/us/book/9781461461692">Encyclopedia of
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Social Network Analysis and Mining</a></em>, edited by Reda Alhajj and
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Jon Rokne (2014).</li>
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<li><em><a
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href="https://www.cambridge.org/us/academic/subjects/physics/statistical-physics/first-course-network-science">A
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First Course in Network Science</a></em>, by Filippo Menczer, Santo
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Fortunato, and Clayton A. Davis - Tutorials, datasets and other resouces
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<a
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href="https://github.com/CambridgeUniversityPress/FirstCourseNetworkScience">on
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GitHub</a> (2020).</li>
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<li><em><a href="http://networksciencebook.com">Network
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Science</a></em>, by Albert-László Barabási - Full book online
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(2016).</li>
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<li><em><a
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href="http://www.nap.edu/catalog/11516/network-science">Network
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Science</a></em>, by the U.S. National Research Council - Full book
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online (2005).</li>
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<li><em><a
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href="http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1118211014.html">Network
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Science: Theory and Practice</a></em>, by Ted G. Lewis (2011).</li>
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<li><em><a
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href="http://www-personal.umich.edu/~mejn/networks-an-introduction/">Networks.
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An Introduction</a></em>, by Mark E.J. Newman (2010).</li>
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<li><em><a
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href="https://www.cs.cornell.edu/home/kleinber/networks-book/">Networks,
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Crowds, and Markets: Reasoning About a Highly Connected World</a></em>,
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by David Easley and Jon Kleinberg - Full pre-publication draft (<a
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href="http://bactra.org/reviews/networks-crowds-markets.html">review</a>;
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2010).</li>
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<li><em><a
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href="https://www.puf.com/content/R%C3%A9seaux_sociaux_et_structures_relationnelles">Réseaux
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sociaux et structures relationnelles</a></em>, by Emmanuel Lazega, in
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French (2014).</li>
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<li><em><a
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href="https://methods.sagepub.com/book/the-sage-handbook-of-social-network-analysis">The
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SAGE Handbook of Social Network Analysis</a></em>, edited by John Scott
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and Peter J. Carrington (2011).</li>
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<li><em><a
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href="http://pierremerckle.fr/2011/02/sociologie-des-reseaux-sociaux/">Sociologie
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des réseaux sociaux</a></em>, by Pierre Mercklé, in French (2011).</li>
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<li><em><a
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href="https://press.princeton.edu/books/paperback/9780691148205/social-and-economic-networks">Social
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and Economic Networks</a></em>, by Matthew O. Jackson (2008).</li>
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<li><em><a
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href="https://www.wiley.com/en-gb/Social+Network+Analysis+with+Applications-p-9781118169476">Social
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Network Analysis with Applications</a></em>, by Ian McCulloh, Helen
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Armstrong and Anthony Johnson (2013).</li>
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<li><em><a href="https://olizardo.github.io/networks-textbook/">Social
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Networks. An Introduction</a></em>, by Omar Lizardo and Isaac Jilbert -
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free to read online (2023).</li>
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<li><em><a
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href="https://www.routledge.com/products/9780415458030">Social Networks:
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An Introduction</a></em>, by Jeroen Bruggeman (<a
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href="https://sites.google.com/site/introsocnet/">related material</a>;
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2008).</li>
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<li><em><a
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href="http://press.uchicago.edu/ucp/books/book/distributed/S/bo15475096.html">Studying
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Social Networks. A Guide to Empirical Research</a></em>, by Marina
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Hennig <em>et al.</em> (2013).</li>
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<li><em><a
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href="https://global.oup.com/academic/product/understanding-social-networks-9780195379471">Understanding
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Social Networks. Theories, Concepts, and Findings</a></em>, by Charles
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Kadushin (2012).</li>
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</ul>
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<h3 id="graph-theory">Graph Theory</h3>
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<ul>
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<li><em><a
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href="https://www.springer.com/us/book/9780387797106">Combinatorics and
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Graph Theory</a></em>, by John Harris, Jeffry L. Hirst and Michael
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Mossinghoff (2008).</li>
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<li><em><a href="http://press.princeton.edu/titles/10314.html">The
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Fascinating World of Graph Theory</a></em>, by Arthur Benjamin, Gary
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Chartrand and Ping Zhang (2015).</li>
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<li><em><a href="https://www.springer.com/us/book/9781846289699">Graph
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Theory</a></em>, by John A. Bondy and Uppaluri S.R. Murty (2008).</li>
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<li><em><a href="http://diestel-graph-theory.com/">Graph
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Theory</a></em>, by Reinhard Diestel - Full book online, also in Chinese
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and German (2016).</li>
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<li><em><a
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href="http://www.dtic.mil/dtic/tr/fulltext/u2/705364.pdf">Graph
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Theory</a></em>, by Frank Harary - Full book online (1969).</li>
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<li><em><a
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href="https://www.crcpress.com/Graphs--Digraphs-Sixth-Edition/Chartrand-Lesniak-Zhang/p/book/9781498735766">Graphs
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& Digraphs</a></em>, by Gary Chartrand, Linda Lesniak and Ping Zhang
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(2016).</li>
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<li><em><a
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href="https://www.whitman.edu/mathematics/cgt_online/cgt.pdf">Introduction
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to Combinatorics and Graph Theory</a></em>, by David Guichard - Full
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book online (2016).</li>
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<li><em><a href="https://www.springer.com/us/book/9780387984889">Modern
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Graph Theory</a></em>, by Belá Bollobás (1998).</li>
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</ul>
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<h3 id="method-specific">Method-specific</h3>
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<ul>
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<li><em><a
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href="https://www.springer.com/fr/book/9781461464457">Bayesian Networks
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in R with Applications in Systems Biology</a></em>, by Radhakrishnan
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Nagarajan, Marco Scutari and Sophie Lèbre (<a
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href="http://www.bnlearn.com/book-useR/">website</a>; 2013).</li>
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<li><em><a
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href="http://www.crcpress.com/product/isbn/9781482225587">Bayesian
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Networks with Examples in R</a></em>, by Marco Scutari and Jean-Baptiste
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Denis (<a href="http://www.bnlearn.com/book-crc/">website</a>;
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2014).</li>
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<li><em><a
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href="https://papress.com/products/the-book-of-trees-visualizing-branches-of-knowledge">The
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Book of Trees. Visualizing Branches of Knowledge</a></em>, by Manuel
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Lima - Hundreds of beautiful tree diagrams, from all periods of history
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(2014).</li>
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<li><em><a href="http://www.cambridge.org/9780521193566">Exponential
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Random Graph Models for Social Networks</a></em>, edited by Dean Lusher,
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Johan Koskinen and Garry Robins (2013).</li>
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<li><em><a
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href="http://www.cambridge.org/de/academic/subjects/sociology/sociology-general-interest/generalized-blockmodeling">Generalized
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Blockmodeling. Structural Analysis in the Social Sciences</a></em>, by
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Patrick Doreian, Vladimir Batagelj and Anuška Ferligoj (2004).</li>
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<li><em><a
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href="https://www.crcpress.com/Handbook-of-Graph-Drawing-and-Visualization/Tamassia/9781584884125">Handbook
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of Graph Drawing and Visualization</a></em>, edited by Roberto Tamassia
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(<a href="https://cs.brown.edu/~rt/gdhandbook/">chapter proofs</a>;
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2013).</li>
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<li><em><a href="http://www.lit-verlag.de/isbn/3-643-11705-2">Handbuch
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Historische Netzwerkforschung. Grundlagen und Anwendungen</a></em>,
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edited by Marten Düring <em>et al.</em>, in German (2016).</li>
|
||
<li><em><a
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href="https://uk.sagepub.com/en-gb/eur/an-introduction-to-exponential-random-graph-modeling/book237737">An
|
||
Introduction to Exponential Random Graph Modeling</a></em>, by Jenine K.
|
||
Harris (2014).</li>
|
||
<li><em><a
|
||
href="http://www.transcript-verlag.de/978-3-8376-1311-7/knoten-und-kanten">Knoten
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und Kanten. Soziale Netzwerkanalyse in Wirtschafts- und
|
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Migrationsforschung</a></em>, edited by Markus Gamper and Linda Reschke,
|
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in German (2010).</li>
|
||
<li><em><a
|
||
href="http://www.transcript-verlag.de/978-3-8376-1927-0/knoten-und-kanten-2.0">Knoten
|
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und Kanten 2.0. Soziale Netzwerkanalyse in Medienforschung und
|
||
Kulturanthropologie</a></em>, edited by Markus Gamper, Linda Reschke and
|
||
Michael Schönhuth, in German (2012).</li>
|
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<li><em><a href="">Knoten und Kanten III. Soziale Netzwerkanalyse in
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Geschichts- und Politikforschung</a></em>, edited by Markus Gamper,
|
||
Linda Reschke and Marten Düring, in German and English (2015).</li>
|
||
<li><em><a
|
||
href="https://www.cambridge.org/highereducation/books/inferential-network-analysis/A7797D36A24647AA1F900CE7EF694C7E">Inferential
|
||
Network Analysis</a></em>, by Skyler J. Cranmer, Bruce A. Desmarais and
|
||
Jason Morgan (2020).</li>
|
||
<li><em><a href="http://multilayer.it.uu.se/book.html">Multilayer Social
|
||
Networks</a></em>, by Mark E. Dickison, Matteo Magnani and Luca Rossi
|
||
(2016).</li>
|
||
<li><em><a
|
||
href="https://www.springer.com/fr/book/9783319245188">Multilevel Network
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Analysis for the Social Sciences</a></em>, edited by Emmanuel Lazega and
|
||
Tom A.B. Snijders (2016).</li>
|
||
<li><em><a
|
||
href="https://www.cambridge.org/core/books/multimodal-political-networks/43EE8C192A1B0DCD65B4D9B9A7842128">Multimodal
|
||
Political Networks</a></em>, by David Knoke, Mario Diani, James Hollway
|
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and Dimitri Christopulos (2021).</li>
|
||
<li><em><a
|
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href="https://www.springer.com/us/book/9783319067926">Multivariate
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Network Visualization</a></em>, edited by Andreas Kerren, Helen C.
|
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Purchase and Matthew O. Ward (2014).</li>
|
||
<li><em><a
|
||
href="https://global.oup.com/academic/product/network-analysis-in-archaeology-9780199697090">Network
|
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Analysis in Archaeology</a></em>, edited by Carl Knappett (2013; <a
|
||
href="https://doi.org/10.4000/nda.2383">review in French</a>).</li>
|
||
<li><em><a href="https://www.springer.com/fr/book/9783540249795">Network
|
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Analysis: Methodological Foundations</a></em>, edited by Ulrik Brandes
|
||
and Thomas Erlebach - Covers network centrality, clustering,
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||
blockmodels, spatial networks and more (2005).</li>
|
||
<li><em><a
|
||
href="http://www.cambridge.org/ar/academic/subjects/sociology/political-sociology/political-networks-structural-perspective">Political
|
||
Networks. The Structural Perspective</a></em>, by David Knoke
|
||
(1994).</li>
|
||
<li><em><a
|
||
href="https://uk.sagepub.com/en-gb/eur/social-network-analysis-for-ego-nets/book240391">Social
|
||
Network Analysis for Ego-Nets: Social Network Analysis for Actor-Centred
|
||
Networks</a></em>, by Nick Crossley <em>et al.</em> (2015).</li>
|
||
<li><em><a
|
||
href="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">Understanding
|
||
Large Temporal Networks and Spatial Networks</a></em>, by Vladimir
|
||
Batagelj <em>et al.</em> (2014).</li>
|
||
</ul>
|
||
<h3 id="software-specific">Software-specific</h3>
|
||
<ul>
|
||
<li><em><a
|
||
href="https://code.google.com/archive/p/graphbook/">Algorithmic Graph
|
||
Theory and Sage</a></em>, by David Joyner, Minh Van Nguyen, and David
|
||
Phillips - Full book online (2013).</li>
|
||
<li><em><a
|
||
href="https://sites.google.com/site/analyzingsocialnetworks/">Analyzing
|
||
Social Networks</a></em> (using UCINET), by Stephen P. Borgatti, Martin
|
||
G. Everett and Jeffrey C. Johnson (2013).</li>
|
||
<li><em><a href="https://www.springer.com/us/book/9783319238821">A
|
||
User’s Guide to Network Analysis in R</a></em>, by Douglas A. Luke
|
||
(2015).</li>
|
||
<li><em><a
|
||
href="https://global.oup.com/academic/product/data-science-and-complex-networks-9780199639601">Data
|
||
Science and Complex Networks: Real Case Studies with Python</a></em>, by
|
||
Guido Caldarelli and Alessandro Chessa (2016).</li>
|
||
<li><em><a
|
||
href="http://www.cambridge.org/us/academic/subjects/sociology/research-methods-sociology-and-criminology/exploratory-social-network-analysis-pajek-2nd-edition">Exploratory
|
||
Social Network Analysis with Pajek</a></em>, by Wouter de Nooy, Andrej
|
||
Mrvar and Vladimir Batagelj (2011; also <a
|
||
href="http://www.tdupress.jp/books/isbn978-4-501-54710-3.html">in
|
||
Japanese</a> and <a href="http://product.dangdang.com/22927985.html">in
|
||
Chinese</a>).</li>
|
||
<li><em><a
|
||
href="https://www.packtpub.com/big-data-and-business-intelligence/gephi-cookbook">Gephi
|
||
Cookbook</a></em> (2015).</li>
|
||
<li><em><a
|
||
href="http://link.springer.com/book/10.1007/978-3-642-18638-7">Graph
|
||
Drawing Software</a></em> (covering many programs), edited by Michael
|
||
Jünger and Petra Mutzel (2004).</li>
|
||
<li><em><a href="http://faculty.ucr.edu/~hanneman/nettext/">Introduction
|
||
to Social Network Methods</a></em> (using mostly UCINET), by Robert A.
|
||
Hanneman and Mark Riddle - Full book online (2001).</li>
|
||
<li><em><a
|
||
href="https://www.packtpub.com/networking-and-servers/mastering-gephi-network-visualization">Mastering
|
||
Gephi Network Visualization</a></em>, by Ken Cherven (2015).</li>
|
||
<li><em>Network Analysis with R/igraph</em>, by Gabor Csárdi, Thomas
|
||
Nepusz and Eduardo M. Airoldi (in preparation).</li>
|
||
<li><em>Network Analysis with Python/igraph</em>, by Thomas Nepusz,
|
||
Gabor Csárdi and Eduardo M. Airoldi (in preparation).</li>
|
||
<li><em><a
|
||
href="https://www.packtpub.com/big-data-and-business-intelligence/network-graph-analysis-and-visualization-gephi">Network
|
||
Graph Analysis and Visualization with Gephi</a></em>, by Ken Cherven
|
||
(2013).</li>
|
||
<li><em><a
|
||
href="http://shop.oreilly.com/product/0636920020424.do">Social Network
|
||
Analysis for Startups. Finding Connections on the Social Web</a></em>
|
||
(using Python), by Maksim Tsvetovat and Alexander Kouznetsov (<a
|
||
href="https://github.com/maksim2042/SNABook">code</a>; 2011).</li>
|
||
<li><em><a
|
||
href="http://www.springer.com/us/book/9781493909827">Statistical
|
||
Analysis of Network Data with R</a></em>, by Eric D. Kolaczyk and Gabor
|
||
Csárdi (<a href="https://github.com/kolaczyk/sand">R package</a>;
|
||
2014).</li>
|
||
</ul>
|
||
<h3 id="topic-specific">Topic-specific</h3>
|
||
<ul>
|
||
<li><em><a
|
||
href="http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0745654207.html">Communities
|
||
and Networks: Using Social Network Analysis to Rethink Urban and
|
||
Community Studies</a></em>, by Katherine Giuffre (2013).</li>
|
||
<li><em><a
|
||
href="http://www.cambridge.org/ar/academic/subjects/politics-international-relations/comparative-politics/comparing-policy-networks-labor-politics-us-germany-and-japan">Comparing
|
||
Policy Networks. Labor Politics in the U.S., Germany, and
|
||
Japan</a></em>, by David Knoke <em>et al.</em> (1996).</li>
|
||
<li><em><a
|
||
href="https://www.routledge.com/Conducting-Personal-Network-Research-A-Practical-Guide/McCarty-Lubbers-Vacca-Molina/p/book/9781462538386">Conducting
|
||
Personal Network Research: A Practical Guide</a></em>, by Christopher
|
||
McCarty <em>et al.</em> (2019).
|
||
<ul>
|
||
<li><em><a
|
||
href="https://raffaelevacca.github.io/egocentric-r-book/">Egocentric
|
||
Network Analysis with R</a></em> - An online book/tutorial that covers a
|
||
lot of similar ground.</li>
|
||
</ul></li>
|
||
<li><em><a
|
||
href="https://global.oup.com/academic/product/the-connected-past-9780198748519">The
|
||
Connected Past. Challenges to Network Studies in Archaeology and
|
||
History</a></em> edited by Tom Brughmans, Anna Collar and Fiona Coward
|
||
(2016; <a href="http://connectedpast.net/">companion website</a>).</li>
|
||
<li><em><a href="http://moreno.ss.uci.edu/">The Development of Social
|
||
Network Analysis: A Study in the Sociology of Science</a></em>, by
|
||
Linton C. Freeman, in English and several other languages (2004; <a
|
||
href="http://moreno.ss.uci.edu/91.pdf">follow-up paper, 2011</a>).</li>
|
||
<li><em><a
|
||
href="https://www.researchgate.net/publication/308874807_Dynamical_networks_in_psychology_More_than_a_pretty_picture">Dynamical
|
||
Networks in Psychology: More Than A Pretty Picture?</a></em>, by Laura
|
||
Bringmann (2016; PhD dissertation).</li>
|
||
<li><em><a
|
||
href="http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780521879507">Dynamical
|
||
Processes on Complex Networks</a></em>, by Alain Barrat, Marc Barthélemy
|
||
and Alessandro Vespignani (2008).</li>
|
||
<li><em><a href="https://networks.quantecon.org/">Economic Networks:
|
||
Theory and Computation</a></em>, by John Stachurski and Thomas J.
|
||
Sargent (2022).</li>
|
||
<li><em><a
|
||
href="https://www.elsevier.com/books/fundamentals-of-brain-network-analysis/fornito/978-0-12-407908-3">Fundamentals
|
||
of Brain Network Analysis</a></em>, by Alex Fornito, Andrew Zalesky and
|
||
Edward Bullmore (2016).</li>
|
||
<li><em><a href="https://www.springer.com/us/book/9780387095257">Inside
|
||
Criminal Networks</a></em>, by Carlo Morselli (2009).</li>
|
||
<li><em><a
|
||
href="https://global.oup.com/academic/product/neighbor-networks-9780199570690">Neighbor
|
||
Networks. Competitive Advantage Local and Personal</a></em>, by Ronald
|
||
S. Burt (2010).</li>
|
||
<li><em><a href="https://www.springer.com/us/book/9783709107409">Network
|
||
Analysis Literacy. A Practical Approach to the Analysis of
|
||
Networks</a></em>, by Katharina A. Zweig (2016).</li>
|
||
<li><em><a
|
||
href="http://www.cambridge.org/mx/academic/subjects/physics/statistical-physics/networks-social-policy-problems">Networks
|
||
in Social Policy Problems</a></em>, edited by Balázs Vedres and Marco
|
||
Scotti (2012).</li>
|
||
<li><em><a
|
||
href="https://global.oup.com/academic/product/the-oxford-handbook-of-the-economics-of-networks-9780199948277">The
|
||
Oxford Handbook of the Economics of Networks</a></em>, edited by Yann
|
||
Bramoullé, Andrea Galeotti and Brian Rogers (2016).</li>
|
||
<li><em><a
|
||
href="http://www.campus.de/buecher-campus-verlag/wissenschaft/politikwissenschaft/policy_debates_as_dynamic_networks-10287.html">Policy
|
||
Debates as Dynamic Networks: German Pension Politics and Privatization
|
||
Discourse</a></em>, by Philip Leifeld (2016).</li>
|
||
<li><em><a href="http://press.princeton.edu/titles/6768.html">Small
|
||
Worlds: The Dynamics of Networks between Order and Randomness</a></em>,
|
||
by Duncan J. Watts (2003).</li>
|
||
<li><em><a
|
||
href="https://global.oup.com/academic/product/theories-of-communication-networks-9780195160376">Theories
|
||
of Communication Networks</a></em>, by Peter Monge and Nosh Contractor
|
||
(2003).</li>
|
||
<li><em><a
|
||
href="http://yalebooks.yale.edu/book/9780300215649/chessboard-and-web">The
|
||
Chessboard and the Web. Strategies of Connection in a Networked
|
||
World</a></em>, by Anne-Marie Slaughter (2017); applies network science
|
||
to world politics.</li>
|
||
<li><em><a
|
||
href="https://www.routledge.com/products/9780415480147">Towards
|
||
Relational Sociology</a></em>, by Nick Crossley (2011).</li>
|
||
<li><em><a
|
||
href="http://www.kulturverlag-kadmos.de/buch/die-verbundenheit-der-dinge.html">Die
|
||
Verbundenheit der Dinge. Eine Kulturgeschichte der Netze und Netzwerke
|
||
[The Connectedness of Things. A Cultural History of Nets and
|
||
Networks]</a></em>, by Sebastian Gießmann, in German (2014).</li>
|
||
<li><em><a href="http://www.degruyter.com/view/product/432196">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]</a></em>, by Marten
|
||
Düring, in German (2015; <a
|
||
href="http://martenduering.com/research/covert-networks-during-the-holocaust/">related
|
||
publications</a> and <a
|
||
href="https://www.youtube.com/watch?v=SlQ7stSU-9w">video presentation in
|
||
English</a>).</li>
|
||
<li><em><a
|
||
href="http://www.campus.de/buecher-campus-verlag/wissenschaft/soziologie/visualisierung_komplexer_strukturen-2467.html">Visualisierung
|
||
komplexer Strukturen. Grundlagen der Darstellung mehrdimensionaler
|
||
Netzwerke</a></em>, by Lothar Krempel, in German.</li>
|
||
</ul>
|
||
<h2 id="conferences">Conferences</h2>
|
||
<blockquote>
|
||
<p>Recurring conferences on network analysis.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a href="http://asonam.cpsc.ucalgary.ca/">ASONAM - IEEE/ACM
|
||
International Conference on Advances in Social Networks Analysis and
|
||
Mining</a>.
|
||
<ul>
|
||
<li><a href="http://snaa.pwr.edu.pl/">SNAA - Workshop on Social Network
|
||
Analysis in Applications</a>.</li>
|
||
</ul></li>
|
||
<li><a
|
||
href="http://www.cnn.group.cam.ac.uk/cambridge-networks-day">CNDay -
|
||
Cambridge Networks Day</a> - Convened by the Cambridge Networks
|
||
Network.</li>
|
||
<li><a href="http://complenet.org/">CompleNet - International Workshop
|
||
on Complex Networks</a>.</li>
|
||
<li><a href="http://eusn.org/">EUSN - European Conference on Social
|
||
Networks</a>.</li>
|
||
<li><a href="http://www.graphdrawing.org/symposia.html">GD -
|
||
International Symposium on Graph Drawing and Network
|
||
Visualization</a>.</li>
|
||
<li><a href="http://conference.polinetworks.org/">PolNet - Annual
|
||
Political Networks Workshops and Conference</a> - Organized by the APSA
|
||
Organized Section on Political Networks (PolNet).
|
||
<ul>
|
||
<li><a href="https://vimeo.com/user2690333">Videos from the Political
|
||
Networks 2009 Conference</a>.</li>
|
||
</ul></li>
|
||
<li><a href="http://www.netscisociety.net/">NetSci - International
|
||
School and Conference on Social Networks</a> - Organized by the Network
|
||
Science Society (NetSci).
|
||
<ul>
|
||
<li><a
|
||
href="http://danlarremore.com/CommunityDetection_and_Ranking_Larremore_2019.pdf">Large-scale
|
||
Structures in Networks: Hidden Communities and Latent Hierarchies</a> -
|
||
Talk by <a href="http://danlarremore.com/">Dan Larremore</a> at NetSci
|
||
2019.</li>
|
||
</ul></li>
|
||
<li><a href="http://www.insna.org/archives.html">Sunbelt - Social
|
||
Networks Conference of the International Network for Social Network
|
||
Analysis</a> - Organized by the International Network for Social Network
|
||
Analysis (INSNA).</li>
|
||
</ul>
|
||
<h2 id="courses">Courses</h2>
|
||
<ul>
|
||
<li><a
|
||
href="http://cazabetremy.fr/Teaching/ComplexNetworks.html">Complex
|
||
Networks</a>, by Rémy Cazabet (University Lyon 1 and ENS Lyon, 2022).
|
||
<ul>
|
||
<li><a
|
||
href="https://github.com/Yquetzal/NetworkScience_CheatSheets">Network
|
||
Science CheatSheets</a>.</li>
|
||
</ul></li>
|
||
<li><a
|
||
href="https://www.uvm.edu/~pdodds/teaching/courses/2016-01UVM-303/">Complex
|
||
Networks</a>, by Peter Sheridan Dodds (University of Vermont, 2016;
|
||
Twitter: <a href="https://twitter.com/networksvox"><span
|
||
class="citation" data-cites="networksvox">@networksvox</span></a>).
|
||
<ul>
|
||
<li><a
|
||
href="https://www.uvm.edu/~pdodds/teaching/courses/2016-01UVM-303/tarotcards/">Tarot
|
||
Cards for Principles of Complex Systems and Complex Networks</a>.</li>
|
||
</ul></li>
|
||
<li><a href="http://www.hamilton.ie/ollie/Downloads/Graph.pdf">Graph
|
||
Theory and Applications</a>, by Paul Van Dooren - Full lecture slides
|
||
(Hamilton Institute, Dublin, 2009).</li>
|
||
<li><a href="http://www.personal.psu.edu/cxg286/Math485.pdf">Graph
|
||
Theory (Mathematics)</a>, by Christopher Griffin - Full lecture notes
|
||
(Penn State University, 2012).</li>
|
||
<li><a
|
||
href="https://sites.google.com/a/yale.edu/462-562-graphs-and-networks/">Graphs
|
||
and Networks</a>, by Dan Spielman (Yale University, 2013).</li>
|
||
<li><a href="https://aaronclauset.github.io/courses/5352/">Network
|
||
Analysis and Modeling (Computer Science)</a>, by Aaron Clauset - Full
|
||
lecture slides and readings (University of Colorado, 2022).</li>
|
||
<li><a
|
||
href="http://ocw.mit.edu/courses/media-arts-and-sciences/mas-961-networks-complexity-and-its-applications-spring-2011/">Networks,
|
||
Complexity and Its Applications (Media Arts and Sciences)</a>, by Cesar
|
||
Hidalgo (MIT, 2011).</li>
|
||
<li><a
|
||
href="https://www.edx.org/course/networks-crowds-markets-cornellx-info2040x-2">Networks,
|
||
Crowds and Markets</a>, by David Easley, Jon Kleinberg and Eva Tardos
|
||
(<a
|
||
href="https://www.cornell.edu/video/cornellx-networks-crowds-and-markets">presentation</a>;
|
||
Cornell University via edX, 2016).</li>
|
||
<li><a
|
||
href="https://ocw.mit.edu/courses/economics/14-15j-networks-spring-2018/">Networks
|
||
(Economics)</a>, by Mardavij Roozbehani and Evan Sadler (MIT, 2018).
|
||
<ul>
|
||
<li><a href="https://hdl.handle.net/1721.1/119628">Networks
|
||
(Economics)</a>, by Daron Acemoglu and Asu Ozdaglar (MIT, 2009).</li>
|
||
</ul></li>
|
||
<li><a href="http://www.cc.gatech.edu/~dovrolis/Courses/NetSci/">Network
|
||
Science (Computer Science)</a>, by Constantine Dovrolis - Mostly open
|
||
access readings (Georgia Tech, 2015).
|
||
<!-- - [Network Science (Physics)](https://www.barabasilab.com/course), by Albert-László Barabási, Sean Cornelius and Roberta Sinatra (Northeastern University, 2015). --></li>
|
||
<li><a
|
||
href="http://vanity.dss.ucdavis.edu/~maoz/networks/Spring%202011/pol279-11.htm">Political
|
||
Networks: Methods and Applications</a>, by Zeev Maoz (University of
|
||
California in Davis, 2012).</li>
|
||
<li><a href="https://www.coursera.org/course/networksonline">Social and
|
||
Economic Networks: Models and Analysis</a>, by Matthew O. Jackson
|
||
(Stanford University via Coursera, 2015).</li>
|
||
<li><a href="https://www.coursera.org/course/sna">Social Network
|
||
Analysis</a>, by Lada Adamic (University of Michigan via Coursera, not
|
||
yet run).</li>
|
||
<li><a href="http://www.mjdenny.com/workshops/SN_Theory_I.pdf">Social
|
||
Network Analysis</a> and <a
|
||
href="http://www.mjdenny.com/workshops/Relational_Theory_Workshop.pdf">Intermediate
|
||
Social Network Theory</a>, by Matthew J. Denny - Workshop notes and
|
||
slides (2014–5).</li>
|
||
<li><a href="http://mrvar.fdv.uni-lj.si/sola/info4/">Social Network
|
||
Analysis with Pajek</a>, by Andrej Mrvar (University of Ljubljana,
|
||
2016).</li>
|
||
<li><a
|
||
href="http://dennisfeehan.org/teaching/201701_demog260.html">Social
|
||
Networks</a>, by Dennis M. Feehan (University of Berkeley, 2017).</li>
|
||
<li><a href="https://www.cs.cornell.edu/Courses/cs6850/2008fa/">The
|
||
Structure of Information Networks</a>, by Jon Kleinberg - Links to many
|
||
diverse readings (Cornell University, 2008).</li>
|
||
</ul>
|
||
<h2 id="datasets">Datasets</h2>
|
||
<ul>
|
||
<li><a href="https://bansallab.github.io/asnr/">Animal Social Network
|
||
Repository</a> - Large “<a
|
||
href="https://doi.org/10.1038/s41597-019-0056-z">multi-species
|
||
repository of social networks</a>.”</li>
|
||
<li><a href="http://www.bnlearn.com/bnrepository/">Bayesian Network
|
||
Repository</a>.</li>
|
||
<li><a href="https://github.com/briatte/parlnet">Bill Cosponsorship
|
||
Networks in European Parliaments</a> - Legislative cosponsorship
|
||
networks, in R format.</li>
|
||
<li><a href="https://icon.colorado.edu/">Colorado Index of Complex
|
||
Networks (ICON)</a> - Large collection of networks described and indexed
|
||
by Aaron Clauset’s research group.</li>
|
||
<li><a
|
||
href="http://awesome.cs.jhu.edu/graph-services/download/">Connectome</a>
|
||
- Comprehensive maps of neural connections.</li>
|
||
<li><a href="https://www.cs.cmu.edu/~enron/">Enron Email
|
||
Dataset</a>.</li>
|
||
<li><a href="http://math.bu.edu/people/kolaczyk/datasets.html">Eric D.
|
||
Kolaczyk’s Network Datasets</a>.</li>
|
||
<li><a href="https://github.com/gephi/gephi/wiki/Datasets">Gephi
|
||
Datasets</a>.</li>
|
||
<li><a href="https://github.com/hetio/hetionet">Hetionet: an integrative
|
||
network of disease</a> - A complex biological network, available in
|
||
multiple formats, including JSON and <a
|
||
href="https://neo4j.het.io/browser/">Neo4j</a>.</li>
|
||
<li><a
|
||
href="https://CRAN.R-project.org/package=igraphdata">igraphdata</a> - R
|
||
data-centric package.</li>
|
||
<li><a
|
||
href="https://cran.r-project.org/package=igraphwalshdata">igraphwalshdata</a>
|
||
- Another R data-centric package.</li>
|
||
<li><a href="http://www.ecologia.ib.usp.br/iwdb/">Interaction Web
|
||
Database</a> - Ecological species interactions.</li>
|
||
<li><a
|
||
href="http://eh.net/database/international-currencies-1890-1910/">International
|
||
Currencies 1890-1910</a> - Historical data on the international
|
||
connections between 45 currencies.</li>
|
||
<li><a href="http://konect.uni-koblenz.de/">KONECT - The Koblenz Network
|
||
Collection</a> - Includes, among other things, networks of collaboration
|
||
in DBpedia and Wikipedia, GitHub (<a
|
||
href="https://arxiv.org/abs/1402.5500">companion handbook</a>).
|
||
<!-- - [James H. Fowler’s Cosponsorship Network Data Page](http://jhfowler.ucsd.edu/cosponsorship.htm). --></li>
|
||
<li><a href="http://moreno.ss.uci.edu/data.html">Linton Freeman’s
|
||
Network Data</a> - Over 300 datasets of all sorts, in UCINET
|
||
format.</li>
|
||
<li><a href="http://mangal.io/">Mangal</a> - Online platform to analyze,
|
||
archive and share ecological network data (<a
|
||
href="https://doi.org/10.1101/002634">preprint</a>, <a
|
||
href="https://github.com/mangal-wg/pymangal">Python package</a>, <a
|
||
href="https://github.com/mangal-wg/rmangal">R package</a>).</li>
|
||
<li><a href="https://manliodedomenico.com/data.php">Manlio De Domenico’s
|
||
Complex Multilayer Networks</a>.</li>
|
||
<li><a href="http://www-personal.umich.edu/~mejn/netdata/">Mark E.J.
|
||
Newman’s Network Data</a> (<a
|
||
href="http://www-personal.umich.edu/~mejn/networks/">example
|
||
visualizations</a>).</li>
|
||
<li><a href="http://networkrepository.com/">Network Repository</a> -
|
||
Fully searchable database containing hundreds of real-world
|
||
networks.</li>
|
||
<li><a
|
||
href="http://networksciencebook.com/translations/en/resources/data.html">Network
|
||
Science Book - Network Datasets</a> - Network data sets from
|
||
Albert-László Barabási’s <em>Network Science</em> 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.
|
||
<!-- - [Nexus](http://nexus.igraph.org/) - Repository of network datasets in GraphML and igraph formats. --></li>
|
||
<li><a href="http://www.boardsandgender.com/data.php">Norwegian
|
||
Interlocking Directorate, 2002-2011</a> - Two-mode and one-mode data on
|
||
gender representation in Norwegian firms.</li>
|
||
<li><a href="http://moviegalaxies.com/">Movie galaxies</a> - A database
|
||
of movie characters interaction graphs.</li>
|
||
<li><a href="http://vlado.fmf.uni-lj.si/pub/networks/data/">Pajek
|
||
Datasets</a>.</li>
|
||
<li><a
|
||
href="https://www.uva.nl/profiel/n/o/w.denooy/w.denooy.html#tab_1">Philosophers
|
||
Networks from Randall Collins’s <em>The Sociology of
|
||
Philosophies</em></a>.</li>
|
||
<li><a
|
||
href="http://www.stats.ox.ac.uk/~snijders/siena/siena_datasets.htm">Siena
|
||
Datasets</a>.</li>
|
||
<li><a href="http://www.sociopatterns.org/datasets/">SocioPatterns
|
||
Datasets</a> - Network data obtained through the <a
|
||
href="http://www.sociopatterns.org/">SocioPatterns</a> sensing
|
||
platform.</li>
|
||
<li><a href="https://snap.stanford.edu/data/index.html">Stanford Large
|
||
Network Dataset Collection</a>.</li>
|
||
<li><a href="https://ippsr.msu.edu/public-policy/state-networks">State
|
||
Networks</a> - US state-to-state relational variables, including
|
||
borders, travel, trade and more.</li>
|
||
<li><a href="https://toreopsahl.com/datasets/">tnet Datasets</a> -
|
||
Weighted network data.</li>
|
||
<li><a href="https://www.icpsr.umich.edu/web/ICPSR/studies/36975">UC
|
||
Berkeley Social Networks Study (UCNets)</a> - Ego-centric data (personal
|
||
networks) from a five-year panel study.</li>
|
||
<li><a href="http://networkdata.ics.uci.edu/">UCI Network Data
|
||
Repository</a>.</li>
|
||
<li><a
|
||
href="https://sites.google.com/site/ucinetsoftware/datasets">UCINET
|
||
Datasets</a> - Network data in UCINET format.</li>
|
||
</ul>
|
||
<h2 id="journals">Journals</h2>
|
||
<blockquote>
|
||
<p>Journals that are not fully open-access are marked as “gated”. Please
|
||
also note that some of the publishers listed below are <a
|
||
href="https://twitter.com/costofknowledge">deeply hurting</a> scientific
|
||
publishing.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><em><a href="http://appliednetsci.springeropen.com/">Applied Network
|
||
Science</a></em> (Springer Open).</li>
|
||
<li><em><a href="http://arcs.episciences.org/">ARCS – Analyse de réseaux
|
||
pour les sciences sociales / Network Analysis for the Social
|
||
Sciences</a></em>, in English and in French (<a
|
||
href="https://arshs.hypotheses.org/">GDR ARSHS</a>).</li>
|
||
<li><em><a href="http://link.springer.com/journal/10588">Computational
|
||
and Mathematical Organization Theory</a></em> (Springer, gated).</li>
|
||
<li><em><a
|
||
href="http://computationalsocialnetworks.springeropen.com/">Computational
|
||
Social Networks</a></em> (Springer Open).</li>
|
||
<li><em><a
|
||
href="http://www.insna.org/connections.html">Connections</a></em>
|
||
(INSNA). Twitter: <a href="https://twitter.com/ConnectionsSNA"><span
|
||
class="citation"
|
||
data-cites="ConnectionsSNA">@ConnectionsSNA</span></a>.</li>
|
||
<li><em><a
|
||
href="https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6488902">IEEE
|
||
Transactions on Network Science and Engineering</a></em> (IEEE).</li>
|
||
<li><em><a href="https://academic.oup.com/comnet">Journal of Complex
|
||
Networks</a></em> (Oxford, gated).</li>
|
||
<li><em><a href="http://www.tandfonline.com/loi/gmas20">The Journal of
|
||
Mathematical Sociology</a></em> (Taylor & Francis, gated).</li>
|
||
<li><em><a
|
||
href="https://www.exeley.com/journal/journal_of_social_structure">Journal
|
||
of Social Structure</a></em> (INSNA). <a
|
||
href="http://www.cmu.edu/joss">Older archives</a>.</li>
|
||
<li><em><a href="https://journals.openedition.org/netcom/">NETCOM.
|
||
Networks and Communication Studies</a></em>, in English and in French
|
||
(Revues.org).</li>
|
||
<li><em><a
|
||
href="http://journals.cambridge.org/action/displayJournal?jid=nws">Network
|
||
Science</a></em> (Cambridge, gated).</li>
|
||
<li><em><a
|
||
href="https://www.journals.elsevier.com/online-social-networks-and-media/">Online
|
||
Social Networks and Media</a></em> (Elsevier, gated).</li>
|
||
<li><em><a href="http://revista-redes.rediris.es/">REDES. Revista
|
||
hispana para el análisis de redes sociales</a></em>, in Spanish
|
||
(INSNA).</li>
|
||
<li><em><a href="http://link.springer.com/journal/13278">Social Network
|
||
Analysis and Mining</a></em> (Springer, gated).</li>
|
||
<li><em><a href="http://ees.elsevier.com/son/default.asp">Social
|
||
Networks</a></em> (Elsevier, gated).</li>
|
||
</ul>
|
||
<h2 id="professional-groups">Professional Groups</h2>
|
||
<ul>
|
||
<li><a href="https://afs-socio.fr/rt/rt26/">AFS RT 26 “Réseaux
|
||
sociaux”</a> - Thematic Network of the French Sociological Association
|
||
(AFS), in French (<a
|
||
href="https://web.archive.org/web/20160421164221/http://www.cmh.pro.ens.fr/reseaux-sociaux/">old
|
||
website</a>).</li>
|
||
<li><a href="http://www.polinetworks.org/">APSA Political Networks</a> -
|
||
Organized Section of the American Political Science Association (APSA).
|
||
Twitter: <a href="https://twitter.com/PolNetworks"><span
|
||
class="citation" data-cites="PolNetworks">@PolNetworks</span></a>.</li>
|
||
<li><a href="https://politicalnetsecpr.wordpress.com/">ECPR Political
|
||
Networks SG</a> - Standing Group of the European Consortium for
|
||
Political Research. Twitter: <a
|
||
href="https://twitter.com/politicalnets"><span class="citation"
|
||
data-cites="politicalnets">@politicalnets</span></a>.</li>
|
||
<li><a href="https://arshs.hypotheses.org/">GDR ARSHS - GDR Analyse de
|
||
réseaux en sciences humaines et sociales</a>, in French - Research group
|
||
based in Paris.</li>
|
||
<li><a href="https://groupefmr.hypotheses.org/">Groupe FMR - Flux,
|
||
Matrices, Réseaux</a>, in French. Twitter: <a
|
||
href="https://twitter.com/BaugLaurent"><span class="citation"
|
||
data-cites="BaugLaurent">@BaugLaurent</span></a>.</li>
|
||
<li><a href="https://www.insna.org/">INSNA - International Network for
|
||
Social Network Analysis</a> (<a
|
||
href="https://www.insna.org/socnet">SOCNET mailing-list</a>). Twitter:
|
||
<a href="https://twitter.com/SocNetAnalysts"><span class="citation"
|
||
data-cites="SocNetAnalysts">@SocNetAnalysts</span></a>.</li>
|
||
<li><a href="http://mathematicalsociology.org/">Mathematical Sociology
|
||
Section of the American Sociological Association (ASA)</a>. Twitter: <a
|
||
href="https://twitter.com/Math_Sociology"><span class="citation"
|
||
data-cites="Math_Sociology">@Math_Sociology</span></a>.</li>
|
||
<li><a href="http://www.netscisociety.net/">NetSci - Network Science
|
||
Society</a>. Twitter: <a href="https://twitter.com/netscisociety"><span
|
||
class="citation"
|
||
data-cites="netscisociety">@netscisociety</span></a>.</li>
|
||
<li><a
|
||
href="https://society-of-young-network-scientists.github.io/">Society of
|
||
Young Network Scientists (SYNS)</a>. Supports early-career network
|
||
scientists. Twitter: <a href="https://twitter.com/official_SYNS"><span
|
||
class="citation"
|
||
data-cites="official_SYNS">@official_SYNS</span></a>.</li>
|
||
</ul>
|
||
<h3 id="research-groups-usa">Research Groups (USA)</h3>
|
||
<blockquote>
|
||
<p>Network-focused research centers, (reading) groups, institutes, labs
|
||
– you name it – based in the USA.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a href="http://uscann.tumblr.com/">Annenberg Networks Network
|
||
(ANN)</a> - Research group studying social networks at the University of
|
||
Southern California.</li>
|
||
<li><a href="https://usccana.github.io/">Center for Applied Network
|
||
Analysis (CANA)</a> - Research group based at the University of Southern
|
||
California School of Medicine.</li>
|
||
<li><a
|
||
href="http://www.brighamandwomens.org/research/depts/medicine/channing/default.aspx">Channing
|
||
Division of Network Medicine</a> - Research division within the
|
||
Department of Medicine at Brigham and Women’s Hospital.</li>
|
||
<li><a href="http://alumni.media.mit.edu/~tanzeem/cohn/CoHN.htm">Complex
|
||
Human Networks Reading Group (CoHN)</a> - Reading list from a seminar
|
||
held at MIT in 2001–2.</li>
|
||
<li><a href="https://dnac.ssri.duke.edu/">Duke Network Analysis
|
||
Center</a>.</li>
|
||
<li><a href="https://sites.psu.edu/desmaraisgroup/">Interdependence in
|
||
Governance and Policy Research Group</a> - Led by Bruce A. Desmarais at
|
||
Penn State University.</li>
|
||
<li><a href="http://iuni.iu.edu/">Indiana University Network Science
|
||
Institute (IUNI)</a>.</li>
|
||
<li><a href="http://icensa.com/">Interdisciplinary Center for Network
|
||
Science and Applications (iCeNSA) at the University of Notre
|
||
Dame</a>.</li>
|
||
<li><a href="https://sites.google.com/site/uklinkscenter/">LINKS Center
|
||
for Social Network Analysis at the Gatton College of Business and
|
||
Economics, University of Kentucky</a>.</li>
|
||
<li><a href="http://netsci.rutgers.edu/">NetSCI Lab at the Rutgers
|
||
School of Communication and Information</a>.</li>
|
||
<li><a href="http://ndg.asc.upenn.edu/">Network Dynamics Group at the
|
||
Annenberg School for Communication, University of Pennsylvania</a>.
|
||
Twitter: <a href="https://twitter.com/NDGannenberg"><span
|
||
class="citation"
|
||
data-cites="NDGannenberg">@NDGannenberg</span></a>.</li>
|
||
<li><a href="http://www.skylercranmer.net/niss-lab/">Network
|
||
Interdependence in Social Systems</a> (NISS Lab) - Led by Skyler J.
|
||
Cranmer at Ohio State University.</li>
|
||
<li><a href="http://www.usma.edu/nsc/">Network Science Center at the
|
||
U.S. Military Academy (USMA) in West Point</a> (<a
|
||
href="http://blog.netsciwestpoint.org/">blog</a>).</li>
|
||
<li><a href="http://networkscience.igert.ucsb.edu/">Network Science
|
||
IGERT at the University of California at Santa Barbara (UCSB)</a> -
|
||
Features an <a href="http://www.igert.org/">NSF-funded</a> graduate
|
||
programme.</li>
|
||
<li><a href="http://www.ncasd.org/">Networks, Computation, and Social
|
||
Dynamics Lab</a> - Headed by Carter T. Butts. Part of the <a
|
||
href="http://relationalanalysis.org/">Center for Networks and Relational
|
||
Analysis</a> (CNRA) at the University of California in Irvine.</li>
|
||
<li><a href="http://www.networkscienceinstitute.org/">Northeastern
|
||
University Network Science Institute</a> - Features a PhD in Network
|
||
Science program.</li>
|
||
<li><a
|
||
href="https://www.northeastern.edu/research/centers/center-for-complex-network-research-ccnr/">Northeastern
|
||
University Center for Complex Network Research</a> - Led by
|
||
Albert-László Barabási.</li>
|
||
<li><a href="http://www.mobs-lab.org/">Northeastern University MOBS Lab
|
||
- Laboratory for the Modeling of Biological and Socio-technical
|
||
Systems</a> - Led by Alessandro Vespignani.</li>
|
||
<li><a href="http://foodwebs.org/">Pacific Ecoinformatics and
|
||
Computational Ecology Lab</a> - Non-profit study group of ecological
|
||
networks (“food webs”).</li>
|
||
<li><a href="http://mucha.web.unc.edu/networks/">Peter J. Mucha’s
|
||
Research Group at the University of North Carolina at Chapel
|
||
Hill</a>.</li>
|
||
<li><a href="https://snap.stanford.edu/">Stanford Network Analysis
|
||
Project</a>, by <a href="https://cs.stanford.edu/~jure/">Jure
|
||
Leskovec</a>.</li>
|
||
<li><a href="http://warrencenter.upenn.edu/">Warren Center for Network
|
||
& Data Sciences at the University of Pennsylvania</a>.</li>
|
||
<li><a href="http://yins.yale.edu/">Yale Institute for Network Science
|
||
(YINS)</a>.</li>
|
||
</ul>
|
||
<h3 id="research-groups-other">Research Groups (Other)</h3>
|
||
<blockquote>
|
||
<p>Network-focused research centers, (reading) groups, institutes, labs
|
||
– you name it – based outside of the USA.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a href="http://www.cnn.group.cam.ac.uk/">Cambridge Networks Network
|
||
(CNN)</a> - Research network on complex networks.</li>
|
||
<li><a
|
||
href="http://www.gre.ac.uk/business/research/centres/cbna/home">Centre
|
||
for Business Network Analysis, University of Greenwich</a> - Focused on
|
||
economic/organisational network analysis.</li>
|
||
<li><a href="http://cns.ceu.edu/">Center for Network Science, Central
|
||
European University, Budapest</a> - Features a PhD in Network Science
|
||
program.</li>
|
||
<li><a href="http://www.complexnetworks.fr/">Complex Networks</a> -
|
||
Research group based in Paris.</li>
|
||
<li><a href="http://www.cxnets.org/">Cx-Nets</a> - Virtual collaboration
|
||
between four complex networks research groups.</li>
|
||
<li><a href="http://datasciencegroup.pl/">Data Science Group</a> -
|
||
Wroclaw-based research group that studies, among many things, complex
|
||
networks and other network-related topics.</li>
|
||
<li><a href="http://cmb.huma-num.fr/">Digital Humanities</a> -
|
||
Interdisciplinary group of researchers at the Marc Bloch Centre in
|
||
Berlin, with many network science projects.</li>
|
||
<li><a
|
||
href="http://www.netzwerk-exzellenz.uni-trier.de/">Forschungscluster der
|
||
Universitäten Trier und Mainz “Gesellschaftliche Abhängigkeiten und
|
||
soziale Netzwerke”</a>, in German.</li>
|
||
<li><a href="https://arshs.hypotheses.org/">GDR Analyse de réseaux en
|
||
sciences humaines et sociales</a> – French research group with funds to
|
||
support training and workshops on network analysis for social
|
||
scientists.</li>
|
||
<li><a href="http://historicalnetworkresearch.org/">Historical Network
|
||
Research (HNR)</a> - Platform for scholars interested in network
|
||
analysis for historical research.
|
||
<ul>
|
||
<li><a href="http://historicalnetworkresearch.org/hnr-events/">HNR
|
||
Conferences, Workshops and Other Events</a>.</li>
|
||
<li><a href="https://vimeo.com/user11811027">HNR Talks</a> - Videos, in
|
||
German.</li>
|
||
</ul></li>
|
||
<li><a href="https://anr.hse.ru/en/">ANR-Lab - International Laboratory
|
||
for Applied Network Research</a> - Russian group based at the National
|
||
Research University in Moscow.
|
||
<ul>
|
||
<li><a href="https://anr.hse.ru/en/summer">Theory and Methods in Network
|
||
Analysis (“TMSA”) Summer Schools</a>.</li>
|
||
</ul></li>
|
||
<li><a href="http://sites.uclouvain.be/networks/">Large Graphs and
|
||
Networks</a> - Research group at the Catholic University of Louvain (<a
|
||
href="https://uclouvain.be/en/research-institutes/icteam/large-graphs-and-networks.html">official
|
||
page</a>).</li>
|
||
<li><a
|
||
href="http://www.swinburne.edu.au/fbl/research/transformative-innovation/our-research/MelNet-social-network-group/">MelNet
|
||
Social Network Research Group, Swinburne University of Technology</a>.
|
||
Twitter: <a href="https://twitter.com/melnetsna"><span class="citation"
|
||
data-cites="melnetsna">@melnetsna</span></a>.</li>
|
||
<li><a
|
||
href="http://www.socialsciences.manchester.ac.uk/mitchell-centre/">Mitchell
|
||
Centre for Social Network Analysis, University of Manchester</a> -
|
||
Currently studies <a
|
||
href="http://www.socialsciences.manchester.ac.uk/mitchell-centre/research/covert-networks/">covert
|
||
networks</a>. Twitter: <a href="https://twitter.com/MitchellSNA"><span
|
||
class="citation" data-cites="MitchellSNA">@MitchellSNA</span></a>.</li>
|
||
<li><a href="http://www.net.c.titech.ac.jp/">Murata Laboratory</a> -
|
||
Tokyo-based research group, studying bi-, tri- and k-partite
|
||
(hyper)networks.</li>
|
||
<li><a
|
||
href="http://www.urbancentre.utoronto.ca/researchgroups/netlab.html">NetLab</a>
|
||
- Research network at the University of Toronto, led by Barry
|
||
Wellman.</li>
|
||
<li><a
|
||
href="http://www.swansea.ac.uk/medicine/enterpriseandinnovation/networkscienceresearchcentre/">Network
|
||
Science Research Centre, Swansea University</a>.</li>
|
||
<li><a href="http://networkdynamics.org/">Network Dynamics</a> -
|
||
Research Lab at McGill University, led by <a
|
||
href="http://www.derekruths.com/">Derek Ruths</a></li>
|
||
<li><a href="https://nerds.itu.dk/">NEtwoRks, Data, and Society
|
||
(NERDS)</a> - Research group at IT University of Copenhagen.</li>
|
||
<li><a href="http://netzwerkerei.org/">Netzwerkerei</a> - Historical
|
||
research project on the connections between Jewish intellectuals.</li>
|
||
<li><a
|
||
href="http://blogs.sciences-po.fr/recherche-network-organization-institution-dynamics-multilevel/">ORIO
|
||
- Observatoire des Réseaux Intra- et Inter-Organisationnels</a> - A
|
||
research program on networks and regulation.
|
||
<ul>
|
||
<li><a
|
||
href="http://blogs.sciences-po.fr/recherche-network-organization-institution-dynamics-multilevel/sminaire-rseaux-et-rgulation/">‘Réseaux
|
||
et Régulation’ Conference Cycle</a> - Seminar based at Sciences Po in
|
||
Paris, France.</li>
|
||
</ul></li>
|
||
<li><a href="http://www.redes-sociales.net/">Redes-Sociales</a>, in
|
||
Spanish - Information network based at the Universitat Autònoma de
|
||
Barcelona.</li>
|
||
<li><a href="https://reshist.hypotheses.org/">RES-HIST : Réseaux et
|
||
histoire</a>, in French - Blog posts from a research group on historical
|
||
networks.
|
||
<ul>
|
||
<li><a href="https://reshist.hypotheses.org/?s=res-hist">RES-HIST
|
||
Conferences</a>.</li>
|
||
</ul></li>
|
||
<li><a href="http://www.sociopatterns.org/">SocioPatterns</a> -
|
||
Interdisciplinary research group that uses wireless sensors to study
|
||
social network data.</li>
|
||
<li><a href="http://www.sonarcenter.eco.usi.ch/">SoNAR-C - Social
|
||
Network Analysis Research Center, University of Italian Switzerland
|
||
(USi)</a>.</li>
|
||
<li><a
|
||
href="https://oeaw.academia.edu/TopographiesofEntanglements">Topographies
|
||
of Entanglements. Mapping Medieval Networks</a> - Research platform
|
||
based at the Austrian Academy of Sciences that focuses on applying
|
||
network theory and visualisation to medieval history.</li>
|
||
<li><a href="https://www.ucl.ac.uk/cona">UCL Centre for Organisational
|
||
Network Analysis (CONA)</a>.</li>
|
||
<li><a href="http://vosonlab.net/">Virtual Observatory for the Study of
|
||
Online Networks (VOSON)</a> - Research and software development project
|
||
located at the Australian National University.</li>
|
||
</ul>
|
||
<h2 id="review-articles">Review Articles</h2>
|
||
<h3 id="archeological-and-historical-networks">Archeological and
|
||
Historical Networks</h3>
|
||
<blockquote>
|
||
<p>See also the bibliographies <a
|
||
href="http://www.quanti.ihmc.ens.fr/Analyse-de-reseaux-bibliographie.html">by
|
||
Claire Lemercier and Claire Zalc</a> (section on ‘<em>études
|
||
structurales</em>’), <a
|
||
href="http://historicalnetworkresearch.org/resources/bibliography/">by
|
||
the Historical Network Research Group</a>, and <a
|
||
href="https://archaeologicalnetworks.wordpress.com/network-science-bibliography/">by
|
||
Tom Brughmans</a>.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a href="https://doi.org/10.3917/rhmc.522.0088">Analyse de réseaux
|
||
et histoire</a>, in French (<em>Revue d’histoire moderne et
|
||
contemporaine</em>, 2005).</li>
|
||
<li><a href="https://doi.org/10.4000/nda.2300">Analyser les réseaux du
|
||
passé en archéologie et en histoire</a>, in French (<em>Les Nouvelles de
|
||
l’Archéologie</em>, 2014).</li>
|
||
<li><a
|
||
href="http://www.studienverlag.at/data.cfm?vpath=openaccess/oezg-12012-lemercier&download=yes">Formale
|
||
Methoden der Netzwerkanalyse in den Geschichtswissenschaften: Warum und
|
||
Wie? [Formal Network Methods in History: Why and How?]</a>, in German
|
||
(<a href="https://shs.hal.science/halshs-00521527">preprint in
|
||
English</a>; <em>Österreichische Zeitschrift für
|
||
Geschichtswissenschaften</em>, 2012).</li>
|
||
<li><a
|
||
href="http://programminghistorian.org/lessons/creating-network-diagrams-from-historical-sources">From
|
||
Hermeneutics to Data to Networks: Data Extraction and Network
|
||
Visualization of Historical Sources</a> (<em>Programming Historian</em>,
|
||
2015).</li>
|
||
<li><a href="https://doi.org/10.1049/iet-syb:20060038">Graph Theory and
|
||
Networks in Biology</a> (<a
|
||
href="https://arxiv.org/abs/q-bio/0604006">preprint</a>; <em>IET Systems
|
||
Biology</em>, 2007).</li>
|
||
<li><a
|
||
href="https://www.martingrandjean.ch/introduction-visualisation-de-donnees-analyse-de-reseau-histoire/">Introduction
|
||
à la visualisation de données : l’analyse de réseau en histoire</a>, in
|
||
French (<em>Geschichte und Informatik</em>, 2015).</li>
|
||
<li><a href="https://doi.org/10.5565/rev/redes.416">Introduction : où en
|
||
est l’analyse de réseaux en histoire ? [Introducción: ¿en qué punto se
|
||
encuentra el análisis de redes en Historia?]</a>, in French and Spanish
|
||
(<em>REDES</em>, 2011).</li>
|
||
<li><a href="https://doi.org/10.1002/cplx.10054">Networks and
|
||
History</a> (<em>Complexity</em>, 2002).</li>
|
||
<li><a href="http://www.themacroscope.org/?page_id=308">Networks in
|
||
Historical Research</a> (in <em>The Historian’s Macroscope</em>,
|
||
2013).</li>
|
||
<li><a
|
||
href="https://doi.org/10.1146/annurev-anthro-102313-025901">Networks of
|
||
Power in Archaeology</a> (<em>Annual Review of Anthropology</em>,
|
||
2014).</li>
|
||
<li><a
|
||
href="https://www.researchgate.net/publication/300723171_Netzwerkanalyse_in_den_Geschichtswissenschaften_Historische_Netzwerkanalyse_als_Methode_fur_die_Erforschung_von_historischen_Prozessen">Netzwerkanalyse
|
||
in den Geschichtswissenschaften. Historische Netzwerkanalyse als Methode
|
||
für die Erforschung von historischen Prozessen</a>, in German (<em><a
|
||
href="https://www.springer.com/de/book/9783531176604">Prozesse. Formen,
|
||
Dynamiken, Erklärungen</a></em>, 2015).</li>
|
||
<li><a
|
||
href="https://www.academia.edu/6925120/Brughmans_T._2014_._The_roots_and_shoots_of_archaeological_network_analysis_A_citation_analysis_and_review_of_the_archaeological_use_of_formal_network_methods._Archaeological_Review_from_Cambridge_29_1_">The
|
||
Roots and Shoots of Archaeological Network Analysis: A Citation Analysis
|
||
and Review of the Archaeological Use of Formal Network Methods</a>
|
||
(<em>Archaeological Review from Cambridge</em>, 2014).</li>
|
||
<li><a href="https://doi.org/10.1007/s10816-012-9133-8">Thinking Through
|
||
Networks: A Review of Formal Network Methods in Archaeology</a>
|
||
(<em>Journal of Archaeological Method and Theory</em>, 2013).</li>
|
||
</ul>
|
||
<h3 id="bibliographic-citation-and-semantic-networks">Bibliographic,
|
||
Citation and Semantic Networks</h3>
|
||
<ul>
|
||
<li><a href="https://doi.org/10.1016/j.joi.2011.08.005">Assessing Impact
|
||
and Quality from Local Dynamics of Citation Networks</a> (<em>Journal of
|
||
Informetrics</em>, 2012).</li>
|
||
<li><a href="https://doi.org/10.1126/science.1240474">Atypical
|
||
Combinations and Scientific Impact</a> (<em>Science</em>, 2013).</li>
|
||
<li><a href="https://doi.org/10.1007/s11192-012-0940-1">On Bibliographic
|
||
Networks</a> (<em>Scientometrics</em>, 2013).</li>
|
||
<li><a
|
||
href="http://patrickdoreian.com/wp-content/uploads/2017/12/dynamic-scientific-coauthorship-networks.pdf">Dynamic
|
||
Scientific Co-Authorship Networks</a> (<em><a
|
||
href="https://www.springer.com/us/book/9783642230677">Models of Science
|
||
Dynamics</a></em>, 2012).</li>
|
||
<li><a
|
||
href="http://www.digitalhumanities.org/dhq/vol/10/2/000255/000255.html">Extracting
|
||
Citation Networks from Publications in Classics</a> (<em>Digital
|
||
Humanities Quarterly</em>, 2016).</li>
|
||
<li><a href="https://doi.org/10.1007/s11192-007-1680-5">Self-Citations,
|
||
Co-Authorships and Keywords: A New Approach to Scientists’ Field
|
||
Mobility?</a> (<em>Scientometrics</em>, 2007).</li>
|
||
<li><a href="https://doi.org/10.1142/S0219525913500136">Socio-Semantic
|
||
Frameworks</a> (<a
|
||
href="http://camille.roth.free.fr/travaux/roth--sociosemantic-systems-acs-proofs.pdf">preprint</a>;
|
||
<em>Advances in Complex Systems</em>, 2013).</li>
|
||
<li><a href="https://ssrn.com/abstract=2452614">Socio-Semantic Modeling
|
||
of Epistemic Communities</a> (APSA, 2014).</li>
|
||
<li><a href="https://doi.org/10.1177/0003122415601618">Tradition and
|
||
Innovation in Scientists’ Research Strategies</a> (<em>Annual Review of
|
||
Sociology</em>, 2015).</li>
|
||
</ul>
|
||
<h3 id="biological-ecological-and-disease-networks">Biological,
|
||
Ecological and Disease Networks</h3>
|
||
<ul>
|
||
<li><a
|
||
href="http://kops.uni-konstanz.de/handle/123456789/25907">Biological
|
||
Networks</a> (<em>Handbook of Graph Drawing and Visualization</em>,
|
||
2014).</li>
|
||
<li><a href="https://barabasi.com/f/326.pdf">Interactome Networks and
|
||
Human Disease</a> (<em>Cell</em>, 2011).</li>
|
||
<li><a
|
||
href="https://doi.org/10.1146/annurev-clinpsy-050212-185608">Network
|
||
Analysis: An Integrative Approach to the Structure of
|
||
Psychopathology</a> (<em>Annual Review of Clinical Psychology</em>,
|
||
2013).</li>
|
||
<li><a href="https://barabasi.com/f/147.pdf">Network Biology:
|
||
Understanding the Cell’s Functional Organization</a> - Accessible
|
||
introduction to (cellular) network analysis (<em>Nature Reviews
|
||
Genetics</em>, 2004).</li>
|
||
<li><a href="https://barabasi.com/f/320.pdf">Network Medicine: A
|
||
Network-based Approach to Human Disease</a> (<em>Nature Review
|
||
Genetics</em>, 2011).</li>
|
||
<li><a href="https://doi.org/10.1016/0277-9536(85)90269-2">Social
|
||
Networks and the Spread of Infectious Diseases: the AIDS Example</a>
|
||
(<em>Social Networks</em>, 1985).</li>
|
||
<li><a href="https://doi.org/10.1016/j.pharmthera.2013.01.016">Structure
|
||
and Dynamics of Molecular Networks: A Novel Paradigm of Drug Discovery.
|
||
A Comprehensive Review</a> - Also includes an impressive list of network
|
||
analysis software (<em>Pharmacology & Therapeutics</em>, 2013).</li>
|
||
</ul>
|
||
<h3 id="complex-and-multilayer-networks">Complex and Multilayer
|
||
Networks</h3>
|
||
<ul>
|
||
<li><a href="https://barabasi.com/f/226.pdf">The Architecture of
|
||
Complexity</a> - From network theory to complexity theory (<em>IEEE
|
||
Control Systems Magazine</em>, 2007).</li>
|
||
<li><a href="https://www.science.org/toc/science/325/5939">Complex
|
||
Systems and Networks</a> (special issue of <em>Science</em>, 2009).</li>
|
||
<li><a
|
||
href="https://doi.org/10.1146/annurev-conmatphys-031218-013259">Multilayer
|
||
Networks in a Nutshell</a> (<em>Annual Review of Condensed Matter
|
||
Physics</em>, 2019).</li>
|
||
<li><a href="https://barabasi.com/f/103.pdf">Statistical Mechanics of
|
||
Complex Networks</a> (<em>Reviews of Modern Physics</em>, 2002).</li>
|
||
<li><a href="https://doi.org/10.1137/S003614450342480">The Structure and
|
||
Function of Complex Networks</a> (<em>SIAM Review</em>, 2003).</li>
|
||
</ul>
|
||
<h3 id="ethics-of-network-analysis">Ethics of Network Analysis</h3>
|
||
<ul>
|
||
<li><a href="https://doi.org/10.1111/j.1467-8551.2012.00835.x">A
|
||
Cautionary Note on Data Inputs and Visual Outputs in Social Network
|
||
Analysis (SNA)</a> (<a
|
||
href="https://lra.le.ac.uk/bitstream/2381/36068/2/Draft%20BJM%20Revised%20(3rd%20iteration)%20Manuscript.pdf">preprint</a>;
|
||
<em>British Journal of Management</em>, 2014).</li>
|
||
<li><a
|
||
href="https://www.sciencedirect.com/journal/social-networks/vol/27/issue/2">Ethical
|
||
Dilemmas in Social Network Research</a> (special issue of <em>Social
|
||
Networks</em>, 2005).</li>
|
||
<li><a
|
||
href="http://www.analytictech.com/borgatti/papers/ethics.pdf">Ethical
|
||
and Strategic Issues in Organizational Social Network Analysis</a>
|
||
(<em>The Journal of Applied Behavioral Science</em>, 2003).</li>
|
||
</ul>
|
||
<h3 id="network-modeling">Network Modeling</h3>
|
||
<ul>
|
||
<li><a
|
||
href="http://www.stat.cmu.edu/~brian/780/hw01/Fienberg%20(2012)%20A%20Brief%20History%20of%20Statistical%20Models%20for%20Network%20Analysis%20and%20Open%20Challenges.pdf">A
|
||
Brief History of Statistical Models for Network Analysis and Open
|
||
Challenges</a> (<em>Journal of Computational and Graphical
|
||
Statistics</em>, 2012).</li>
|
||
<li><a href="https://projecteuclid.org/euclid.ssu/1504836152">Basic
|
||
Models and Questions in Statistical Network Analysis</a> (<em>Statistics
|
||
Surveys</em>, 2017).</li>
|
||
<li><a href="https://doi.org/10.1016/j.socnet.2009.02.004">Introduction
|
||
to Stochastic Actor-Based Models for Network Dynamics</a> (<a
|
||
href="http://www.stats.ox.ac.uk/~snijders/SnijdersSteglichVdBunt2009.pdf">preprint</a>;
|
||
<em>Social Networks</em>, 2010).</li>
|
||
<li><a href="https://doi.org/10.1111/ajps.12263">Navigating the Range of
|
||
Statistical Tools for Inferential Network Analysis</a> (<em>American
|
||
Journal of Political Science</em>, 2017).</li>
|
||
<li><a
|
||
href="http://link.springer.com/referenceworkentry/10.1007%2F978-1-4614-1800-9_138">Positional
|
||
Analysis and Blockmodeling</a>
|
||
(<!-- [preprint](http://patrickdoreian.com/NEW/wp-content/papers_resources/chapters/Positional_Analysis_and_Blockmodeling.pdf); --><em>Computational
|
||
Complexity</em>, 2012).</li>
|
||
<li><a href="https://doi.org/10.4000/msh.2750">Social Network Evolution
|
||
and Actor Oriented Models</a> (<em>Mathematics & Social
|
||
Sciences</em>, 1997).</li>
|
||
<li><a
|
||
href="https://doi.org/10.1146/annurev.soc.012809.102709">Statistical
|
||
Models for Social Networks</a> (<em>Annual Review of Sociology</em>,
|
||
2011).</li>
|
||
<li><a href="https://dl.acm.org/citation.cfm?id=1734795">A Survey of
|
||
Statistical Network Models</a> - Book-length review (<a
|
||
href="https://arxiv.org/abs/0912.5410">preprint</a>; <em>Foundations and
|
||
Trends in Machine Learning</em>, 2010).</li>
|
||
<li><a href="https://arxiv.org/abs/1411.4070">A Unified View of
|
||
Generative Models for Networks: Models, Methods, Opportunities, and
|
||
Challenges</a> (<a
|
||
href="http://www.birs.ca/events/2015/5-day-workshops/15w5080/videos/watch/201504200944-Jacobs.html">video
|
||
presentation</a>; <a
|
||
href="https://nips.cc/Conferences/2014/Schedule?type=Workshop">NIPS 2014
|
||
workshop</a> on “<a
|
||
href="https://410f84824e101297359cc81c78f45c7c079eb26c.googledrive.com/host/0Bz6WHrWac3FrWnA5MjZqb3lWa2c/">Networks:
|
||
From Graphs to Rich Data</a>”).</li>
|
||
</ul>
|
||
<h3 id="network-visualization">Network Visualization</h3>
|
||
<ul>
|
||
<li><a
|
||
href="https://www.academia.edu/17565685/Explorations_into_the_Visualization_of_Policy_Networks">Explorations
|
||
into the Visualization of Policy Networks</a> (<em>Journal of
|
||
Theoretical Politics</em>, 1999).</li>
|
||
<li><a href="http://moreno.ss.uci.edu/87.pdf">Graphical Techniques for
|
||
Exploring Social Network Data</a> (<em>Models and Methods in Social
|
||
Network Analysis</em>, 2005).</li>
|
||
<li><a href="http://moreno.ss.uci.edu/90.pdf">Methods of Social Network
|
||
Visualization</a> (<em>Encyclopedia of Complexity and Systems
|
||
Science</em>, 2009; <a
|
||
href="http://www.pfeffer.at/data/visposter/">poster version</a>).</li>
|
||
<li><a href="http://moreno.ss.uci.edu/93.pdf">Social Networks</a>
|
||
(<em>Handbook of Graph Drawing and Visualization</em>, 2013).</li>
|
||
</ul>
|
||
<h3 id="social-economic-and-political-networks">Social, Economic and
|
||
Political Networks</h3>
|
||
<blockquote>
|
||
<p>See also the bibliographies <a
|
||
href="http://eszter.com/contract.html#socnet">by Eszter Hargittai</a>,
|
||
<a
|
||
href="http://pierrefrancois.wifeo.com/documents/Cours-rseau---biblio-gnrale.pdf">by
|
||
Pierre François</a> and <a
|
||
href="http://socio.ens-lyon.fr/merckle/merckle_communications_2008_cargese_reseaux_nuls_biblio.pdf">by
|
||
Pierre Mercklé</a>.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a href="https://doi.org/10.4000/msh.11969">A propos de la notion de
|
||
rôle dans l’analyse des relations sociales</a> (<em>Mathématiques et
|
||
sciences humaines</em>, 2011).</li>
|
||
<li><a
|
||
href="https://doi.org/10.1146/annurev-soc-081309-150054">Brokerage</a>
|
||
(<em>Annual Review of Sociology</em>, 2012).</li>
|
||
<li><a href="https://doi.org/10.1146/annurev.soc.27.1.415">Birds of a
|
||
Feather: Homophily in Social Networks</a> (<em>Annual Review of
|
||
Sociology</em>, 2001).</li>
|
||
<li><a href="http://eprints.ncrm.ac.uk/842/">Mixed-Method Approaches to
|
||
Social Network Analysis</a> (ESRC NCRM Discussion Paper, 2010).</li>
|
||
<li><a
|
||
href="https://doi.org/10.1146/annurev.polisci.12.040907.115949">Network
|
||
Analysis and Political Science</a> (<em>Annual Review of Political
|
||
Science</em>, 2011).</li>
|
||
<li><a
|
||
href="https://www.cambridge.org/core/journals/international-organization/article/div-classtitlenetwork-analysis-for-international-relationsdiv/DE2910979C1B5C44C4CC13F336C5DE97">Network
|
||
Analysis for International Relations</a> (<em>International
|
||
Organization</em>, 2009).</li>
|
||
<li><a href="http://science.sciencemag.org/content/323/5916/892">Network
|
||
Analysis in the Social Sciences</a> (<em>Science</em>, 2009).</li>
|
||
<li><a
|
||
href="https://doi.org/10.1146/annurev-economics-080217-053506">Networks
|
||
and Trade</a> (<em>Annual Review of Economics</em>, 2018).</li>
|
||
<li><a
|
||
href="http://link.springer.com/10.1007%2F978-1-4614-6170-8_79">Networks
|
||
in Social Psychology, Beginning with Kurt Lewin</a>
|
||
(<!-- [preprint](http://patrickdoreian.com/NEW/wp-content/papers_resources/new_papers_4-13/Networks_in_Socia_Psychology_Lewin.docx); --><em><a
|
||
href="https://www.springer.com/us/book/9781461461692">Encyclopedia of
|
||
Social Network Analysis and Mining</a></em>, 2014).</li>
|
||
<li><a
|
||
href="https://www.aeaweb.org/articles?id=10.1257/jep.28.4.3">Networks in
|
||
the Understanding of Economic Behaviors</a> (<em>Journal of Economic
|
||
Perspectives</em>, 2014).</li>
|
||
<li><a
|
||
href="http://sk.sagepub.com/reference/the-sage-handbook-of-social-network-analysis/n29.xml">Positions
|
||
and Roles</a>
|
||
(<!-- [preprint](http://patrickdoreian.com/NEW/wp-content/papers_resources/new_papers_4-13/positions_and_roles.pdf); --><em><a
|
||
href="http://www.sagepub.in/books/Book232753/">The SAGE Handbook of
|
||
Social Network Analysis</a></em>, 2011).</li>
|
||
<li><a href="http://repository.upenn.edu/psc_working_papers/41/">The
|
||
Social and the Sexual: Networks in Contemporary Demographic Research</a>
|
||
(PSC Working Paper Series, 2013).</li>
|
||
<li><a
|
||
href="http://journals.cambridge.org/article_S1049096510001848">Social
|
||
Network Analysis in the Study of Terrorism and Political Violence</a>
|
||
(<a
|
||
href="http://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=1048&context=pn_wp">preprint</a>;
|
||
<em>PS: Political Science and Politics</em>, 2011).</li>
|
||
<li><a
|
||
href="https://doi.org/10.1146/annurev-criminol-011518-024701">Social
|
||
Networks and Crime: Pitfalls and Promises for Advancing the Field</a>
|
||
(<em>Annual Review of Criminology</em>, 2019).</li>
|
||
<li>Urban Social Networks: Some Methodological Problems and
|
||
Possibilities (<a
|
||
href="https://www.worldcat.org/title/small-world/oclc/925078340&referer=brief_results"><em>The
|
||
Small World</em></a>, 1989).</li>
|
||
</ul>
|
||
<h2 id="selected-papers">Selected Papers</h2>
|
||
<blockquote>
|
||
<p>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.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a
|
||
href="https://www.cairn.info/revue-reseaux1-2008-6-page-21.htm">Aux
|
||
sources des grands réseaux d’interactions. Retour sur quelques
|
||
propriétés déterminantes des réseaux sociaux issus de corpus
|
||
documentaires</a>, by Pascal Cristofoli, in French - Reviews the current
|
||
state of relational sociology and network analysis in light of the
|
||
large-scale and online data (<em>Réseaux</em>, 2008).</li>
|
||
<li><a
|
||
href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2831261/">Birds of a
|
||
Feather, Or Friend of a Friend? Using Exponential Random Graph Models to
|
||
Investigate Adolescent Social Networks</a>, by Steven M. Goodreau, James
|
||
A. Kitts and Martina Morris - Accessible introduction to the logic and
|
||
application of exponential random graph modeling (<em>Demography</em>,
|
||
2001).</li>
|
||
<li><a href="http://www.soc.duke.edu/~jmoody77/chains.pdf">Chains of
|
||
Affection: The Structure of Adolescent Romantic and Sexual Networks</a>,
|
||
by Peter S. Bearman, James Moody and Katherine Stovel - Classic example
|
||
of topological network analysis applied to a network of affective and
|
||
sexual ties (<em>American Journal of Sociology</em>, 2004).</li>
|
||
<li><a href="https://doi.org/10.1103/PhysRevE.88.012814">Coauthorship
|
||
and Citation Patterns in the <em>Physical Review</em></a>, by Travis
|
||
Martin <em>et al.</em> - Highly typical study of scientific publishing
|
||
productivity and collaboration through temporal network analysis (<a
|
||
href="https://arxiv.org/abs/1304.0473">preprint</a>; <em>Physical Review
|
||
E</em>, 2013).</li>
|
||
<li><a href="https://www.cs.cornell.edu/home/kleinber/cacm08.pdf">The
|
||
Convergence of Social and Technological Networks</a>, by Jon Kleinberg -
|
||
Discusses small-world effects and social contagion within the context of
|
||
the Internet and social media (<em>Communications of the ACM</em>,
|
||
2008).</li>
|
||
<li><a
|
||
href="https://www.cairn.info/revue-reseaux1-2002-5-page-183.htm">Deux
|
||
traditions d’analyse des reseaux sociaux</a>, by Michael Eve (<a
|
||
href="https://www.academia.edu/14524365/THE_TWO_TRADITIONS_OF_NETWORK_ANALYSIS">English
|
||
version</a>; <em>Réseaux</em>, 2002).</li>
|
||
<li><a
|
||
href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3328971/">Homophily
|
||
and Contagion Are Generically Confounded in Observational Social Network
|
||
Studies</a>, by Cosma R. Shalizi and Andrew C. Thomas - Makes a very
|
||
important point for the analysis of network diffusion and influence
|
||
(<em>Sociological Methods and Research</em>, 2011).</li>
|
||
<li><a href="https://doi.org/10.4000/communicationorganisation.4093">La
|
||
notion de réseau complexe : du réseau comme abstraction et outil à la
|
||
masse de données des réseaux sociaux en ligne</a>, by Alain Barrat, in
|
||
French - Accessible introduction to the study of complex networks
|
||
(<em>Communication & Organisation</em>, 2013).</li>
|
||
<li><a
|
||
href="https://www.mustafaemirbayer.com/network-analysis-culture-and-the-pr">Network
|
||
Analysis, Culture, and the Problem of Agency</a>, by Mustafa Emirbayer
|
||
and Jeff Goodwin (<em>American Journal of Sociology</em>, 1994), and <a
|
||
href="https://www.mustafaemirbayer.com/copy-3-of-bourdieu">Manifesto for
|
||
a Relational Sociology</a>, by Mustafa Emirbayer (<em>American Journal
|
||
of Sociology</em>, 1997) - Sociological foundations for a science of
|
||
social ties.</li>
|
||
<li><a
|
||
href="https://sydney.edu.au/intellectual-history/documents/moretti_network_theory_plot_analysis.pdf">Network
|
||
Theory, Plot Analysis</a>, by Franco Moretti - Example applications of
|
||
(fictional) network analysis in literary studies (<em>New Left
|
||
Review</em>, 2011).</li>
|
||
<li><a href="https://doi.org/10.1016/j.socnet.2010.03.006">Node
|
||
Centrality in Weighted Networks: Generalizing Degree and Shortest
|
||
Paths</a>, by Tore Opsahl, Filip Agneessens and John Skvoretz - Explores
|
||
the generalization of network centrality and distance measures to
|
||
(positively) valued graphs (<em>Social Networks</em>, 2010; <a
|
||
href="https://toreopsahl.com/tnet/">companion website</a>).</li>
|
||
<li><a href="https://barabasi.com/f/124.pdf">Scale-Free Networks</a>, by
|
||
Albert-László Barabási and Eric Bonabeau - Early, accessible formulation
|
||
of the “networks are everywhere” argument (<em>Scientific American</em>,
|
||
2003).</li>
|
||
<li><a
|
||
href="http://link.springer.com/chapter/10.1007/978-94-007-6094-3_17">Social
|
||
Networks and Causal Inference</a>, 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 (<em><a
|
||
href="http://link.springer.com/book/10.1007/978-94-007-6094-3">Handbook
|
||
of Causal Analysis for Social Research</a></em>, 2013).</li>
|
||
<li><a
|
||
href="https://kieranhealy.org/files/papers/performativity.pdf">The
|
||
Performativity of Networks</a>, 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 (<em>European Journal of
|
||
Sociology</em>, 2015).</li>
|
||
<li><a
|
||
href="http://science.sciencemag.org/content/325/5939/414">Revisiting the
|
||
Foundations of Network Analysis</a>, by Carter T. Butts - On choosing
|
||
the right network representation to frame a research problem.</li>
|
||
<li><a
|
||
href="http://home.uchicago.edu/~jpadgett/papers/published/robust.pdf">Robust
|
||
Action and the Rise of the Medici, 1400-1434</a>, by John F. Padgett and
|
||
Christopher K. Ansell - Classic analysis of power relations in the
|
||
Renaissance Florentine state (<em>American Journal of Sociology</em>,
|
||
1993).</li>
|
||
<li><a
|
||
href="https://sociology.stanford.edu/sites/default/files/publications/the_strength_of_weak_ties_and_exch_w-gans.pdf">The
|
||
Strength of Weak Ties</a>, by Mark Granovetter - Arch-classic example of
|
||
applying network analysis to a social issue: jobseeking (<em>American
|
||
Journal of Sociology</em>, 1973).</li>
|
||
<li><a
|
||
href="http://www.stats.ox.ac.uk/~snijders/FlandreauJobst2005.pdf">The
|
||
Ties that Divide: A Network Analysis of the International Monetary
|
||
System, 1890–1910</a> (<em>The Journal of Economic History</em>, 2005)
|
||
and <a href="https://doi.org/10.1111/j.1468-0297.2009.02219.x">The
|
||
Empirics of International Currencies: Network Externalities, History and
|
||
Persistence</a> (<em>The Economic Journal</em>, 2009), both by Marc
|
||
Flandreau and Clemens Jobst - Network analysis of the foreign exchange
|
||
system in the late 19th century (<a
|
||
href="http://eh.net/database/international-currencies-1890-1910/">data</a>).</li>
|
||
<li><a href="https://arxiv.org/abs/1404.0067">Topics in Social Network
|
||
Analysis and Network Science</a>, 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 (<em>The Handbook of Health
|
||
Services Research</em>, forthcoming 2017).</li>
|
||
</ul>
|
||
<h2 id="software">Software</h2>
|
||
<blockquote>
|
||
<p>For a hint of why this section of the list might be useful to some,
|
||
see <a
|
||
href="http://mdround.blogs.com/usingnetworks/2009/07/sna-tools-and-formats-diagram-updated.html">Mark
|
||
Round’s Map of Data Formats and Software Tools</a> (2009).<br />
|
||
Several links in this section come from the <a
|
||
href="http://netwiki.amath.unc.edu/SharedCode/SharedCode">NetWiki Shared
|
||
Code</a> page, from the Cambridge Networks Network <a
|
||
href="http://www.cnn.group.cam.ac.uk/Resources">List of Resources for
|
||
Complex Network Analysis</a>, and from the <a
|
||
href="http://www.gmw.rug.nl/~huisman/sna/software.html">Software for
|
||
Social Network Analysis</a> page by Mark Huisman and Marijtje A.J. van
|
||
Duijn. For a recent academic review on the subject, see the <a
|
||
href="https://doi.org/10.1016/B978-0-08-097086-8.43121-1">Social Network
|
||
Algorithms and Software</a> entry of the <em>International Encyclopedia
|
||
of Social and Behavioral Sciences</em>, 2nd edition (2015).<br />
|
||
See also the <a
|
||
href="https://docs.google.com/spreadsheets/d/1Xo-ehJatzmxMek6gPG0h-d7yRSuiO6_flViTQNMAku0/edit#gid=0">Social
|
||
Network Analysis Project Survey</a> (<a
|
||
href="http://pudo.org/blog/2013/12/21/sna-survey.html">blog post</a>),
|
||
an earlier attempt to chart social network analysis tools that links to
|
||
many commercial platforms not included in this list, such as <a
|
||
href="http://www.detective.io/">Detective.io</a>. The Wikipedia English
|
||
entry on <a
|
||
href="https://en.wikipedia.org/wiki/Social_network_analysis_software">Social
|
||
Network Analysis Software</a> also links to many commercial that are
|
||
often very expensive, outdated, and far from being awesome by any
|
||
reasonable standard.<br />
|
||
Software-centric tutorials are listed below their program of choice:
|
||
other tutorials are listed <a href="#tutorials">in the next
|
||
section</a>.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a
|
||
href="http://www.esri.com/software/arcgis/extensions/networkanalyst">ArcGIS
|
||
Network Analyst</a> - Network-based spatial analysis software for
|
||
solving complex routing problems.</li>
|
||
<li><a href="http://www.cfinder.org/">CFinder</a> - Cross-platform Java
|
||
program to identify clusters and communities through the Clique
|
||
Percolation Method (CPM).</li>
|
||
<li><a href="http://circos.ca/">Circos</a> - Cross-platform program to
|
||
produce circular layouts of network data, written in Perl.</li>
|
||
<li><a href="http://www.cytoscape.org/">Cytoscape</a> - Cross-platform
|
||
Java program to build, analyze and visualize networks. Also a JavaScript
|
||
library.
|
||
<ul>
|
||
<li><a
|
||
href="https://archaeologicalnetworks.wordpress.com/resources/#cytoscape">Network
|
||
Analysis with Cytoscape Tutorial</a> - Illustrated through an
|
||
archaeological and geographical case study (2013).</li>
|
||
</ul></li>
|
||
<li><a
|
||
href="http://www.philipleifeld.com/discourse-network-analyzer/discourse-network-analyzer-dna.html">Discourse
|
||
Network Analyzer (DNA)</a> - Qualitative content analysis tool with
|
||
network export facilities, written in Java with R integration.</li>
|
||
<li><a href="https://sites.google.com/site/enetsoftware1/">E-Net</a> -
|
||
Windows program for ego network analysis.</li>
|
||
<li><a href="https://sourceforge.net/projects/egonet/">EgoNet</a> -
|
||
Cross-platform Java program for ego network analysis.</li>
|
||
<li><a href="https://www.qualintitative.com/egoweb/">EgoWeb</a> -
|
||
Server-side software for social network data collection and
|
||
processing.</li>
|
||
<li><a href="http://www.esyn.org/">easyN</a> - Online tool aimed at
|
||
representing and sharing gene interaction networks as well as Petri net
|
||
models.</li>
|
||
<li><a href="https://gephi.org/">Gephi</a> - Cross-platform, free and
|
||
open source tool for network visualization.
|
||
<ul>
|
||
<li><a href="https://seinecle.github.io/gephi-tutorials/">Clément
|
||
Levallois’ Gephi Tutorials</a>.</li>
|
||
<li><a href="http://www.podcampus.de/nodes/RJVZo">Geographische
|
||
Netzwerkvisualisierung mit dem Programm ‘Gephi’</a>, in German
|
||
(2016).</li>
|
||
<li><a
|
||
href="http://www.martingrandjean.ch/gephi-introduction/">Introduction to
|
||
Network Analysis and Visualization with Gephi</a> (2015).</li>
|
||
<li><a href="http://derekgreene.com/gephitutorial/">Practical Social
|
||
Network Analysis With Gephi</a> (2014).</li>
|
||
</ul></li>
|
||
<li><a href="http://www.gleamviz.org/">GLEAMviz Simulator</a> -
|
||
Cross-platform tool intended for the prediction of human epidemics.</li>
|
||
<li><a href="https://graphcommons.com/">Graph Commons</a> -
|
||
Collaborative platform for mapping, analyzing and publishing
|
||
data-networks.</li>
|
||
<li><a href="https://graphia.app/">Graphia</a> - Cross-platform tool to
|
||
visualize large and complex networks (<a
|
||
href="https://www.cnn.group.cam.ac.uk/news/Graphia-April19">announcement</a>).</li>
|
||
<li><a href="http://www.graphviz.org/">Graphviz</a> - Cross-platform
|
||
software to draw graphs in the DOT graph drawing language.</li>
|
||
<li><a href="https://github.com/bruce/graphy">Graphy</a> - Graph theory
|
||
library written in Ruby.</li>
|
||
<li><a href="https://spark.apache.org/graphx/">GraphX</a> - <a
|
||
href="https://spark.apache.org/">Apache Spark</a> module to perform
|
||
graph-related parallel computation.</li>
|
||
<li><a href="https://linkage.fr/">Linkage</a> - Online tool to visualize
|
||
and model networks with textual edges.</li>
|
||
<li><a href="https://lynksoft.com/">Lynks</a> - Web-based tool for
|
||
simple network analysis and visualization.</li>
|
||
<li><a href="https://www.wolfram.com/mathematica/">Mathematica</a> -
|
||
Cross-platform program with graph theory and network analysis
|
||
functionalities.
|
||
<ul>
|
||
<li><a href="https://github.com/szhorvat/IGraphM">IGraph/M</a> -
|
||
Interface to use the <code>igraph</code> library from within
|
||
Mathematica, using standard Mathematica <code>Graph</code> objects.</li>
|
||
</ul></li>
|
||
<li><a href="https://metamaps.cc/">Metamaps</a> - Free, open-source
|
||
platform to draw networks, currently in beta.</li>
|
||
<li><a href="http://muxviz.net/">MuxViz</a> - Cross-platform, free and
|
||
open source tool to study multilayer networks, based on R and GNU
|
||
Octave.</li>
|
||
<li><a href="http://neo4j.com/">Neo4j</a> - Open source, scalable graph
|
||
database, used by companies like <a
|
||
href="http://linkurio.us/">Linkurious</a>.</li>
|
||
<li><a href="http://networkcanvas.com/">Network Canvas</a> - A free and
|
||
open-source set of survey tools for ego-centric and personal network
|
||
studies, including <a
|
||
href="https://documentation.networkcanvas.com">documentation</a> and a
|
||
<a href="https://community.networkcanvas.com">user community</a>.</li>
|
||
<li><a href="http://nos.alwaysdata.net/">Node Overlap and Segregation
|
||
Software</a> - Web-based tool to compute <a
|
||
href="https://doi.org/10.1111/2041-210X.12395">Strona and Veech</a>’s
|
||
node overlap and segregation measures.</li>
|
||
<li><a href="http://nodegoat.net/">Nodegoat</a> - Web-based data
|
||
management, network analysis and visualisation environment (<a
|
||
href="http://nodegoat.net/blog">blog</a>).</li>
|
||
<li><a href="http://nodexl.codeplex.com/">NodeXL</a> - Free, open-source
|
||
template to explore network graphs with Microsoft Excel.
|
||
<ul>
|
||
<li><a href="https://blogs.k-state.edu/it-news/tag/nodexl/">The NodeXL
|
||
Series</a> - Series of blog posts on using NodeXL (2013).</li>
|
||
</ul></li>
|
||
<li><a href="http://www.casos.cs.cmu.edu/projects/ora/">ORA-LITE</a> -
|
||
Windows program for dynamic meta-network assessment and analysis.</li>
|
||
<li><a href="http://osome.iuni.iu.edu/">OSoMe</a> - Web-based platform
|
||
to analyze social media data, including through Twitter-based and
|
||
co-occurrence networks.</li>
|
||
<li><a href="http://mrvar.fdv.uni-lj.si/pajek/">Pajek</a> - Windows
|
||
program for large network analysis, free for noncommercial use.
|
||
<ul>
|
||
<li><a href="https://quanti.hypotheses.org/512/">Analyse des réseaux :
|
||
une introduction à Pajek</a>, in French (2011).</li>
|
||
<li><a href="https://groupefmr.hypotheses.org/544">La détection de
|
||
communautés avec Pajek 3.6</a>, in French (2012).</li>
|
||
</ul></li>
|
||
<li><a href="http://hdlab.stanford.edu/palladio/">Palladio</a> -
|
||
Web-based spatial network visualization tool by the <a
|
||
href="http://hdlab.stanford.edu/">Humanities + Design research lab</a>
|
||
at Stanford University.</li>
|
||
<li><a href="https://visiblenetworklabs.com/partner-cprm/">PARTNER -
|
||
Program to Analyze, Record, and Track Networks to Enhance
|
||
Relationships</a> - Excel-based tool for building networks from
|
||
surveys.</li>
|
||
<li><a href="https://pigale.sourceforge.net/">PIGALE - Public
|
||
Implementation of a Graph Algorithm Library and Editor</a> - Windows
|
||
program and C++ library to analyze planar graphs.</li>
|
||
<li><a
|
||
href="http://www.swinburne.edu.au/fbl/research/transformative-innovation/our-research/MelNet-social-network-group/PNet-software/index.html">PNet</a>
|
||
- Simulation and estimation of (one-mode and multilevel) exponential
|
||
random graph models (ERGMs), written in Java for Windows.</li>
|
||
<li><a href="https://www.polinode.com/">Polinode</a> - Web-based
|
||
platform to both analyze network data as well as collect network data
|
||
via relationship-based surveys.</li>
|
||
<li><a href="http://www.kintip.net/">PUCK - Program for the Use and
|
||
Computation of Kinship data</a> - Cross-platform Java program for
|
||
genealogical network analysis.</li>
|
||
<li><a
|
||
href="https://github.com/ait-energy/qgis-edge-bundling">qgis-edge-bundling</a>
|
||
- Implementation of force-directed edge bundling for the QGIS Processing
|
||
toolbox.</li>
|
||
<li><a
|
||
href="https://deim.urv.cat/~sergio.gomez/radatools.php">Radatools</a> -
|
||
Set of tools intended for the analysis of complex networks, built on top
|
||
of <a href="http://deim.urv.cat/~sergio.gomez/radalib.php">Radalib</a>,
|
||
a library written in Ada.</li>
|
||
<li><a href="https://ouestware.gitlab.io/retina">Retina</a> - Web
|
||
application to share GEXF and GraphML network visualizations.</li>
|
||
<li><a
|
||
href="https://github.com/sknetwork-team/scikit-network">Scikit-network</a>
|
||
- Open-source library for machine learning on graphs.</li>
|
||
<li><a href="https://www.sagemath.org/">SageMath</a> - Free open-source
|
||
mathematics software with extensive <a
|
||
href="http://doc.sagemath.org/html/en/reference/graphs/index.html">graph
|
||
capabilities</a>.</li>
|
||
<li><a href="https://www.segrada.org/">Segrada</a> - Cross-platform tool
|
||
to build and visualize semantic graph databases.</li>
|
||
<li><a href="https://www.stats.ox.ac.uk/~snijders/siena/">Siena</a> -
|
||
Simulation Investigation for Empirical Network Analysis. Formerly a
|
||
Windows program, now developed as the RSiena R package.</li>
|
||
<li><a href="https://socnetv.org/">SocNetV - Social Network
|
||
Visualizer</a> - Cross-platform program that includes a <a
|
||
href="https://socnetv.org/news/?post=socnetv-v16-released-with-a-working-web-crawler">simple
|
||
Web crawler</a> to construct hyperlink networks.</li>
|
||
<li><a href="http://web.stanford.edu/group/sonia/">SoNIA - Social
|
||
Network Image Animator</a> - Tool to visualize dynamic or longitudinal
|
||
network data. Formerly a <a
|
||
href="https://sourceforge.net/projects/sonia/">Java program</a> (<a
|
||
href="http://www.soc.duke.edu/~jmoody77/NetMovies/index.htm">example
|
||
movies</a>), now developed as the ndtv R package.</li>
|
||
<li><a href="https://sparkling-graph.github.io/">SparklingGraph</a> -
|
||
Cross-platform tool to perform large-scale, distributed network
|
||
computations with Apache Spark’s GraphX module; written in Java and
|
||
Scala.</li>
|
||
<li><a href="http://www.spato.net/">SPaTo Visual Explorer</a> -
|
||
Cross-platform program for the visualization and exploration of complex
|
||
networks.</li>
|
||
<li><a href="http://www.gmw.rug.nl/~stocnet/StOCNET.htm">StOCNET</a> -
|
||
Several Windows programs developed by the same team as Siena.</li>
|
||
<li><a href="http://tulip.labri.fr/">Tulip</a> - 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 <a
|
||
href="http://tulip.labri.fr/Documentation/current/tulip-python/html/index.html">Python
|
||
package</a>.</li>
|
||
<li><a href="https://sites.google.com/site/ucinetsoftware/">UCINET</a> -
|
||
Windows commercial software package for the analysis of social network
|
||
data.</li>
|
||
<li><a href="http://www.uberlink.com/">Uberlink</a> - Software suite for
|
||
online (hyperlink) network analysis, by the <a
|
||
href="http://vosonlab.net/">VOSON</a> research project.
|
||
<ul>
|
||
<li><a href="http://www.uberlink.com/software#voson">VOSON System</a> -
|
||
Web-based software for the collection and analysis of online network
|
||
data.</li>
|
||
<li><a href="http://www.uberlink.com/software#voson-nodexl">VOSON Data
|
||
Provider for NodeXL</a> (<a
|
||
href="https://blogs.k-state.edu/it-news/2013/04/09/the-nodexl-series-using-voson-for-hyperlink-network-analysis-part-9/">quick
|
||
tutorial</a>; to be discontinued in 2016).</li>
|
||
<li><a href="http://vosonlab.net/tools">vosonR</a> - R client for the
|
||
VOSON software (in development).</li>
|
||
</ul></li>
|
||
<li><a href="http://unison.sleonard.co.uk/">UNISoN</a> - Cross-platform
|
||
program to download and visualize Usenet data. <a
|
||
href="https://github.com/leonarduk/unison/wiki/MSc-Report-Abstract">Developed
|
||
for a Masters degree</a>.</li>
|
||
<li><a href="http://www.vennmaker.com/?lang=en">VennMaker: An
|
||
Actor-Centered Interactive Network Mapping Tool</a> - Cross-platform
|
||
Java program for ego network analysis.
|
||
<ul>
|
||
<li><a
|
||
href="http://revistes.uab.cat/redes/article/view/v21-during-bixier-kronenwett-stark">VennMaker
|
||
for Historians: Sources, Social Networks and Software</a> (also
|
||
available in Spanish; 2011).</li>
|
||
</ul></li>
|
||
<li><a href="https://visone.ethz.ch/">Visone</a> - Cross-platform Java
|
||
network analysis and visualization program, free for noncommercial use.
|
||
<ul>
|
||
<li><a href="https://visone.ethz.ch/wiki/index.php/Tutorials">Visone
|
||
Tutorials</a> - Including one using an archaeological case study
|
||
(2017).</li>
|
||
</ul></li>
|
||
<li><a
|
||
href="http://vis.stanford.edu/jheer/projects/vizster/">Vizster</a> -
|
||
Cross-platform Java program to visualize online social networks.</li>
|
||
<li><a href="https://www.vosviewer.com/">VOSviewer</a> - Cross-platform
|
||
Java tool for constructing and visualizing bibliometric networks.</li>
|
||
</ul>
|
||
<h3 id="algorithms">Algorithms</h3>
|
||
<blockquote>
|
||
<p>Network placement and community detection algorithms that do not fit
|
||
in any of the next subsections.<br />
|
||
See also the <a
|
||
href="https://github.com/tayllan/awesome-algorithms">Awesome
|
||
Algorithms</a> and <a href="https://github.com/enjalot/algovis">Awesome
|
||
Algorithm Visualization</a> lists for more algorithmic awesomess.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a href="https://github.com/clojure/algo.graph">algo.graph</a> -
|
||
Basic graph theory algorithms written in Clojure.</li>
|
||
<li><a
|
||
href="https://gregory.org/research/networks/software/conga.html">CONGA
|
||
and CONGO</a> - Algorithms to detect overlapping communities in
|
||
networks, written in Java.</li>
|
||
<li><a
|
||
href="https://gephi.wordpress.com/2011/06/06/forceatlas2-the-new-version-of-our-home-brew-layout/">ForceAtlas2</a>
|
||
- Force-directed layout included in Gephi (<a
|
||
href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0098679">paper</a>).</li>
|
||
<li><a href="https://github.com/bagrow/linkcomm">Linkcomm - Link
|
||
Communities in Complex Networks</a> - Community detection algorithms,
|
||
available in C++, Python <a
|
||
href="https://CRAN.R-project.org/package=linkcomm">and R</a>.</li>
|
||
<li><a href="https://ssbgroup.fr/mixnet.html">MixNet - Erdös-Rényi
|
||
Mixture Model for Networks</a> - Community detection method, available
|
||
in C++ and R.</li>
|
||
<li><a href="http://www.oslom.org/">OSLOM2 - Order Statistics Local
|
||
Optimization Method</a> - Clustering algorithm.</li>
|
||
<li><a href="https://vbmod.sourceforge.net/">vbmod: Variational Bayesian
|
||
Inference for Network Modularity</a> - MATLAB and Python implementations
|
||
of a <a href="https://arxiv.org/abs/0709.3512">Bayesian community
|
||
detection algorithm</a>.</li>
|
||
<li><a
|
||
href="https://github.com/sjbeckett/weighted-modularity-LPAwbPLUS">weighted-modularity-LPAwbPLUS</a>
|
||
- Julia, MATLAB and R implementations of two algorithms to find weighted
|
||
modularity in bipartite networks.</li>
|
||
</ul>
|
||
<h3 id="c-c">C / C++</h3>
|
||
<blockquote>
|
||
<p>For more awesome C / C++ content, see the <a
|
||
href="https://github.com/aleksandar-todorovic/awesome-c">Awesome C</a>
|
||
and <a href="https://github.com/fffaraz/awesome-cpp">Awesome C / C++</a>
|
||
lists.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a
|
||
href="https://sites.google.com/site/santofortunato/inthepress2">Benchmark
|
||
Graphs to Test Community Detection Algorithms</a> - C++ code to generate
|
||
weighted and unweighted graphs.</li>
|
||
<li><a href="https://www.boost.org/doc/libs/1_60_0/libs/graph/doc/">BGL
|
||
- Boost Graph Library</a> - C++ library that provides a generic
|
||
interface to access graph structures.</li>
|
||
<li><a href="https://igraph.org/">igraph</a> - C library of network
|
||
analysis tools; also exists as packages for Python and R.</li>
|
||
<li><a href="https://www.mapequation.org/">MapEquation</a> - C++ code
|
||
for the Infomap method of multilevel community detection.</li>
|
||
<li><a href="https://sites.google.com/site/findcommunities/">Louvain
|
||
Method</a> - C++ code for the <a
|
||
href="https://arxiv.org/abs/0803.0476">Louvain multi-level community
|
||
detection algorithm</a>.</li>
|
||
<li><a href="https://networks-tb.sourceforge.net/">networks.tb</a> - C
|
||
program designed for analyzing socio-semantic networks. Runs on Linux
|
||
and Mac OS X.</li>
|
||
<li><a href="https://ogdf.uos.de/">OGDF - Open Graph Drawing
|
||
Framework</a> - Self-contained C++ class library for diagram, network
|
||
and tree layouts.</li>
|
||
<li><a href="http://www.cs.sandia.gov/~smartin/software.html">OpenOrd:
|
||
Large-scale Graph Layout (formerly DrL)</a> - C++ algorithm, also
|
||
available as a <a
|
||
href="https://gephi.org/plugins/#/plugin/openord-layout">Gephi
|
||
plugin</a>.</li>
|
||
<li><a href="https://github.com/rapidsai/cugraph">RAPIDS cuGraph</a> -
|
||
Python packages and C/C++/CUDA libraries focused on GPU-accelerated
|
||
graph analytics.</li>
|
||
<li><a href="http://snap.stanford.edu/">Stanford Network Analysis
|
||
Project</a> - C++ general purpose network analysis and graph mining
|
||
library. Available as a Python library and in Microsoft Excel via
|
||
NodeXL.</li>
|
||
<li><a
|
||
href="https://www-complexnetworks.lip6.fr/~latapy/PP/walktrap.html">Walktrap</a>
|
||
- C++ program that implements the <a
|
||
href="https://arxiv.org/abs/physics/0512106">WalkTrap community
|
||
detection algorithm</a>.</li>
|
||
</ul>
|
||
<h3 id="java">Java</h3>
|
||
<ul>
|
||
<li><a href="https://github.com/gephi/graphstore">GraphStore</a> -
|
||
In-memory graph structure implementation, powering Gephi.</li>
|
||
<li><a href="https://graphstream-project.org/">GraphStream</a> - Java
|
||
library for the modeling and analysis of dynamic graphs.</li>
|
||
<li><a href="https://github.com/keith-turner/mixer">Mixer</a> -
|
||
Prototype showing how to use <a href="https://fluo.apache.org/">Apache
|
||
Fluo</a> to continuously merge multiple large graphs into a single
|
||
derived one.</li>
|
||
</ul>
|
||
<h3 id="javascript">JavaScript</h3>
|
||
<blockquote>
|
||
<p>For more awesome JavaScript libraries, see the <a
|
||
href="https://github.com/sorrycc/awesome-javascript">Awesome
|
||
JavaScript</a> list.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a href="https://js.cytoscape.org/">Cytoscape.js</a> - Network
|
||
analysis and visualization library.</li>
|
||
<li><a href="https://d3js.org/">d3.js</a> - JavaScript visualization
|
||
library that can plot <a
|
||
href="http://bl.ocks.org/mbostock/4062045">force-directed graphs</a>.
|
||
<ul>
|
||
<li><a href="https://github.com/d3/d3-force">d3-force: Force-directed
|
||
graph layout</a> using velocity Verlet integration.</li>
|
||
<li><a
|
||
href="https://github.com/thepeoplesbourgeois/d3-vector">d3-vector:
|
||
Define connections between nodes as directional vectors</a>, consisting
|
||
of angles and magnitudes.</li>
|
||
</ul></li>
|
||
<li><a href="http://www.tobiasstark.nl/GENSI/GENSI.htm">GENSI</a> -
|
||
JavaScript graphical tool to collect ego-centered network data (<a
|
||
href="https://doi.org/10.1016/j.socnet.2016.07.007">paper</a>).</li>
|
||
<li><a href="https://github.com/gephi/gephi-lite">Gephi Lite</a> -
|
||
Web-based, lighter version of Gephi.</li>
|
||
<li><a href="https://gojs.net/">GoJS</a> - Visualization library to draw
|
||
diagrams and several types of network layouts.</li>
|
||
<li><a href="https://graphology.github.io/">Graphology</a> -
|
||
Specification and reference implementation for a robust and multipurpose
|
||
JavaScript <code>Graph</code> object.</li>
|
||
<li><a href="https://mauriciopoppe.github.io/greuler/">greuler</a> -
|
||
Visualization library to build and manipulate graphs through a simple
|
||
API. Powered by d3.js and <a
|
||
href="https://ialab.it.monash.edu/webcola/">WebCola</a>.</li>
|
||
<li><a href="https://github.com/upphiminn/jLouvain">jLouvain</a> -
|
||
Louvain community detection for Javascript (<a
|
||
href="http://bl.ocks.org/emeeks/125db75c9b55ddcbdeb5">example</a>).</li>
|
||
<li><a href="https://github.com/networkcube/networkcube">NetworkCube</a>
|
||
- “Dynamic Network Visualizations [for] Domain Scientists.” For demo
|
||
examples, see <a href="https://networkcube.github.io/vistorian/">The
|
||
Vistorian</a>.</li>
|
||
<li><a
|
||
href="https://github.com/public-accountability/oligrapher">Oligrapher</a>
|
||
- Library initially developed to visualise <a
|
||
href="https://littlesis.org/">“networks of influence” among U.S.
|
||
elites</a>.</li>
|
||
<li><a href="https://github.com/Nhogs/popoto">Popoto.js</a> - Library
|
||
based on d3.js that provides a graph based search interface.</li>
|
||
<li><a href="https://www.sigmajs.org/">Sigma</a> - JavaScript library
|
||
dedicated to graph drawing.</li>
|
||
<li><a href="https://visjs.org/">vis.js</a> - JavaScript library with
|
||
network visualization capabilities.</li>
|
||
<li><a href="https://github.com/anvaka/VivaGraphJS">VivaGraphJS</a> -
|
||
Graph drawing library (<a
|
||
href="https://github.com/graphcommons/viva.forceatlas2">ForceAtlas2
|
||
plugin</a>).</li>
|
||
<li><a href="https://mdaines.github.io/viz.js/">viz.js</a> - Use
|
||
Graphviz in Web pages.</li>
|
||
</ul>
|
||
<h3 id="julia">Julia</h3>
|
||
<ul>
|
||
<li><a href="https://github.com/sisl/BayesNets.jl">BayesNets.jl</a> -
|
||
Package to work with Bayesian networks.
|
||
<ul>
|
||
<li><a href="https://github.com/sisl/Smile.jl">Smile.jl</a> - Julia
|
||
wrapper for the <a href="http://www.bayesfusion.com/smile-engine">Smile
|
||
C++ library</a>, which covers Bayesian networks and influence
|
||
diagrams.</li>
|
||
</ul></li>
|
||
<li><a
|
||
href="https://github.com/PoisotLab/EcologicalNetwork.jl">EcologicalNetwork.jl</a>
|
||
- Package to compute measures of ecological network structures.</li>
|
||
<li><a
|
||
href="https://github.com/weijianzhang/EvolvingGraphs.jl">EvolvingGraphs</a>
|
||
- Package to create, manipulate and study time-dependent networks.
|
||
<ul>
|
||
<li><a
|
||
href="http://eprints.ma.man.ac.uk/2376/01/julia_eg_report.pdf">Dynamic
|
||
Network Analysis in Julia</a>.</li>
|
||
</ul></li>
|
||
<li><a href="https://github.com/JuliaLang/Graphs.jl">Graphs.jl</a> -
|
||
Package to manipulate graph objects in Julia.
|
||
<ul>
|
||
<li><a
|
||
href="http://badhessian.org/2014/05/creating-network-diagrams-in-plotly-from-julia/">Creating
|
||
Network Diagrams in Plotly from Julia</a>.</li>
|
||
<li><a
|
||
href="https://github.com/JuliaGraphs/MetaGraphs.jl">MetaGraphs</a> -
|
||
Graph data structures with multiple heterogeneous metadata for
|
||
Graphs.jl.</li>
|
||
</ul></li>
|
||
<li><a href="https://github.com/JuliaGraphs">JuliaGraphs</a> - Suite of
|
||
Julia packages for network analysis.
|
||
<ul>
|
||
<li><a
|
||
href="https://github.com/JuliaGraphs/GraphVisualize.jl">GraphVisualize.jl</a>
|
||
- Graph visualization built on top of <a
|
||
href="https://github.com/JuliaGL/GLVisualize.jl">GLVisualize.jl</a>.</li>
|
||
<li><a
|
||
href="https://github.com/JuliaGraphs/LightGraphs.jl">LightGraphs.jl</a>
|
||
- Graph library with a focus on performance and simplicity.</li>
|
||
<li><a
|
||
href="https://github.com/JuliaGraphs/LightGraphsExtras.jl">LightGraphsExtras.jl</a>
|
||
- Community detection and other functionalities for the LightGraphs.jl
|
||
package.</li>
|
||
<li><a
|
||
href="https://github.com/JuliaGraphs/NetworkLayout.jl">NetworkLayout.jl</a>
|
||
- Layout algorithms for graphs and trees.</li>
|
||
<li><a href="https://github.com/JuliaGraphs/Networks.jl">Networks.jl</a>
|
||
- Additional graph functions for the LightGraphs.jl package.</li>
|
||
<li><a
|
||
href="https://github.com/JuliaGraphs/GraphCentrality.jl">GraphCentrality.jl</a>
|
||
- Adds network measures to the Graphs.jl package.</li>
|
||
</ul></li>
|
||
<li><a
|
||
href="https://github.com/nassarhuda/MatrixNetworks.jl">MatrixNetworks.jl</a>
|
||
- A method to handle graph/matrix/network structures.</li>
|
||
<li><a
|
||
href="https://github.com/Azzaare/NetworkFlows.jl">NetworkFlows.jl</a> -
|
||
Package of network flows algorithms.</li>
|
||
<li><a
|
||
href="https://github.com/abhijithanilkumar/NetworkViz.jl">NetworkViz.jl</a>
|
||
- Package to visualize graphs produced with LightGraphs.jl, using <a
|
||
href="https://github.com/rohitvarkey/ThreeJS.jl">ThreeJS.jl</a>.
|
||
<ul>
|
||
<li><a
|
||
href="https://youtu.be/kY5te9NwXo8?list=PLP8iPy9hna6SQPwZUDtAM59-wPzCPyD_S">Video
|
||
presentation of the package</a> by its author at JuliaCon 2016.</li>
|
||
</ul></li>
|
||
<li><a
|
||
href="https://github.com/crsl4/PhyloNetworks.jl">PhyloNetworks.jl</a> -
|
||
Package to manipulate, analyze and visualize phylogenetic networks.</li>
|
||
<li><a href="https://github.com/sisl/TikzGraphs.jl">TikzGraphs</a> -
|
||
Package to create graph layouts using the TikZ graphics language.</li>
|
||
</ul>
|
||
<h3 id="matlab">MATLAB</h3>
|
||
<blockquote>
|
||
<p>See also the webweb tool listed in the <a href="#python">Python</a>
|
||
section.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a href="https://sites.google.com/site/bctnet/">Brain Connectivity
|
||
Toolbox</a> - Toolbox for complex-network analysis of structural and
|
||
functional brain-connectivity data, with links to many related
|
||
projects.</li>
|
||
<li><a
|
||
href="http://www.levmuchnik.net/Content/Networks/ComplexNetworksPackage.html">Complex
|
||
Networks Package for MatLab</a>.</li>
|
||
<li><a
|
||
href="http://www.maths.strath.ac.uk/research/groups/numerical_analysis/contest">CONTEST</a>
|
||
- Random network toolbox that implements nine network models.</li>
|
||
<li><a
|
||
href="http://netwiki.amath.unc.edu/GenLouvain/GenLouvain">Generalized
|
||
Louvain</a> - Variant of the Louvain community detection algorithm.</li>
|
||
<li><a href="https://dgleich.github.io/matlab-bgl/">MatlabBGL</a> -
|
||
Graph library based on the C++ Boost Graph Library.</li>
|
||
<li><a href="http://www.teuscher.ch/rbntoolbox/index.htm">MATLAB RBN
|
||
Toolbox</a> - Simulation und visualization of Random Boolean
|
||
Networks.</li>
|
||
</ul>
|
||
<h3 id="python">Python</h3>
|
||
<blockquote>
|
||
<p>Many items below are from <a
|
||
href="https://docs.google.com/spreadsheets/d/1vJILk2EW1JnR3YAwTSSqAV5mPkeXaezy45wOoafBpfU/edit#gid=0">a
|
||
Google spreadsheet</a> by Michał Bojanowski and others.<br />
|
||
See also <a href="https://www.youtube.com/watch?v=qgGqaBAEy3Q">Social
|
||
Network Analysis with Python</a>, a 3-hour tutorial by Maksim Tsvetovat
|
||
and Alex Kouznetsov given at PyCon US 2012 (<a
|
||
href="https://github.com/maksim2042/PyCon2012">code</a>).<br />
|
||
For more awesome Python packages, see the <a
|
||
href="https://github.com/vinta/awesome-python">Awesome Python</a> and <a
|
||
href="https://github.com/Junnplus/awesome-python-books">Awesome Python
|
||
Books</a> lists.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a href="https://bokeh.org/">bokeh</a> - Python library for
|
||
interactive data visualization in the browser, with support for
|
||
networks.</li>
|
||
<li><a href="https://github.com/GiulioRossetti/cdlib">cdlib</a> - Python
|
||
community detection library, with 60+ methods and
|
||
evaluation/visualization features.</li>
|
||
<li><a
|
||
href="https://github.com/plotly/dash-cytoscape">dash-cytoscape</a> -
|
||
Interactive network visualization library in Python, powered by
|
||
Cytoscape.js and Dash</li>
|
||
<li><a href="http://graph-tool.skewed.de/">graph-tool</a> - Python
|
||
module for network manipulation and analysis, written mostly in C++ for
|
||
speed.</li>
|
||
<li><a href="https://erivlis.github.io/graphinate/">Graphinate</a> -
|
||
Python package aimed at generating graphs from data sources, built on
|
||
top of <code>networkx</code>.</li>
|
||
<li><a href="https://pypi.python.org/pypi/graphviz">graphviz</a> -
|
||
Python renderer for the DOT graph drawing language.</li>
|
||
<li><a href="https://github.com/microsoft/graspologic">graspologic</a> -
|
||
Python package for statistical algorithms, models, and visualization for
|
||
single and multiple networks.
|
||
<ul>
|
||
<li><a href="https://graspologic.readthedocs.io/en/latest/">Tutorials on
|
||
algorithms and models</a>.</li>
|
||
</ul></li>
|
||
<li><a href="https://pypi.python.org/pypi/hiveplot">hiveplot</a> -
|
||
Python utility for drawing networks as hive plots on matplotlib, a more
|
||
comprehensive network visualization.</li>
|
||
<li><a
|
||
href="https://github.com/benedekrozemberczki/karateclub">karateclub</a>
|
||
- Python package for unsupervised learning on graph structured data with
|
||
a scikit-learn like API.</li>
|
||
<li><a href="https://github.com/rafguns/linkpred">linkpred</a> - Assess
|
||
the likelihood of potential links in a future snapshot of a
|
||
network.</li>
|
||
<li><a
|
||
href="https://github.com/benedekrozemberczki/littleballoffur">littleballoffur</a>
|
||
- Python package for sampling from graph structured data with a
|
||
scikit-learn like API.</li>
|
||
<li><a href="http://networkslab.org/metaknowledge/">metaknowledge</a> -
|
||
Python package to turn bibliometrics data into authorship and citation
|
||
networks.</li>
|
||
<li><a href="https://networkx.org/">networkx</a> - Python package for
|
||
the creation, manipulation, and study of the structure, dynamics, and
|
||
functions of complex networks.
|
||
<ul>
|
||
<li><a href="https://gist.github.com/dmasad/8509304">Implementing an
|
||
ERGM from Scratch in Python</a>, using networkx and numpy (2014).</li>
|
||
<li><a href="https://github.com/ericmjl/nxviz/">nxviz</a> -
|
||
Visualization package for NetworkX.</li>
|
||
</ul></li>
|
||
<li><a href="https://nngt.readthedocs.io">nngt</a> - Library-agnostic
|
||
graph generation and analysis that wraps around <code>networkx</code>,
|
||
<code>igraph</code> and <code>graph-tool</code>). Includes normalized
|
||
graph measures, advanced visualizations, (geo)spatial tools, and
|
||
interfaces for neuroscience simulators.</li>
|
||
<li><a href="https://github.com/ike002jp/npartite">npartite</a> - Python
|
||
algorithms for community detection in n-partite networks.</li>
|
||
<li><a href="https://github.com/rraadd88/parag">parag</a> - Interactive
|
||
visualization of higher-order graphs in Python.</li>
|
||
<li><a href="https://www.pathpy.net/">pathpy</a> - Analysis of time
|
||
series data on networks using higher-order and multi-order graphical
|
||
models.</li>
|
||
<li><a
|
||
href="https://github.com/graphistry/pygraphistry">PyGraphistry</a> -
|
||
Python library to extract, transform, and visually explore big
|
||
graphs.</li>
|
||
<li><a href="http://igraph.org/python/">python-igraph</a> - Python
|
||
version of the igraph network analysis package.</li>
|
||
<li><a
|
||
href="https://perso.crans.org/aynaud/communities/">python-louvain</a> -
|
||
A solid implementation of Louvain community detection algorithm.</li>
|
||
<li><a href="https://www.raphtory.com/">Raphtory</a> - A platform for
|
||
building and analysing temporal networks.</li>
|
||
<li><a href="https://github.com/rapidsai/cugraph">RAPIDS cuGraph</a> -
|
||
Python packages and C/C++/CUDA libraries focused on GPU-accelerated
|
||
graph analytics.</li>
|
||
<li><a href="https://github.com/Qiskit/rustworkx">rustworkx</a> - A high
|
||
performance Python graph library implemented in Rust.</li>
|
||
<li><a
|
||
href="https://docs.scipy.org/doc/scipy/reference/sparse.csgraph.html#module-scipy.sparse.csgraph">scipy.sparse.csgraph</a>
|
||
- Fast graph algorithms based on sparse matrix representations.</li>
|
||
<li><a href="http://snap.stanford.edu/snappy/index.html">Snap.py</a> - A
|
||
Python interface for SNAP (a general purpose, high performance system
|
||
for analysis and manipulation of large networks).</li>
|
||
<li><a href="https://github.com/snap-stanford/snapvx">SnapVX</a> - A
|
||
convex optimization solver for problems defined on a graph.</li>
|
||
<li><a href="https://github.com/Yquetzal/tnetwork">tnetwork</a> - Python
|
||
library for temporal networks, and dynamic community detection in
|
||
particular.</li>
|
||
<li><a href="http://vladowiki.fmf.uni-lj.si/doku.php?id=tq">TQ (Temporal
|
||
Quantities)</a> - Python 3 library for temporal network analysis.</li>
|
||
<li><a href="http://multilayer.it.uu.se/software.html">uunet</a> - Tools
|
||
for multilayer social networks.
|
||
<ul>
|
||
<li><a href="http://multilayer.it.uu.se/">Related book and data</a>. See
|
||
<code>multinet</code> for the R version.</li>
|
||
</ul></li>
|
||
<li><a href="https://webwebpage.github.io/">webweb</a> - MATLAB/Python
|
||
library to produce interactive network visualizations with d3.js.</li>
|
||
</ul>
|
||
<h3 id="r">R</h3>
|
||
<blockquote>
|
||
<p>For more awesome R resources, see the <a
|
||
href="https://github.com/qinwf/awesome-R">Awesome R</a> and <a
|
||
href="https://github.com/RomanTsegelskyi/rbooks">Awesome R Books</a>
|
||
lists. See also <a
|
||
href="https://docs.google.com/spreadsheets/d/1CoFGtrW85D9FsVcAE5-bcXVl6QOTncwXjFBYp4u2WgE/edit?usp=sharing">this
|
||
Google spreadsheet</a> by Ian McCulloh and others.<br />
|
||
To convert many different network model results into tidy data frames,
|
||
see the <a href="https://CRAN.R-project.org/package=broom">broom</a>
|
||
package. To convert many different network model results into LaTeX or
|
||
HTML tables, see the <a
|
||
href="https://CRAN.R-project.org/package=texreg">texreg</a> package.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a href="https://CRAN.R-project.org/package=amen">amen</a> -
|
||
Additive and multiplicative effects models for relational data.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=backbone">backbone</a> -
|
||
Provides methods for binarizing a weighted network retaining only
|
||
significant edges.
|
||
<ul>
|
||
<li><a href="https://arxiv.org/abs/1912.12779">Introduction to the
|
||
backbone package</a></li>
|
||
</ul></li>
|
||
<li><a href="https://CRAN.R-project.org/package=Bergm">Bergm</a> - Tools
|
||
to analyse Bayesian exponential random graph models (BERGM). Related
|
||
Twitter: <a href="https://twitter.com/BayesianSNA"><span
|
||
class="citation" data-cites="BayesianSNA">@BayesianSNA</span></a>.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=bipartite">bipartite</a>
|
||
- Functions to visualize bipartite (two-mode) networks and compute
|
||
indices commonly used in ecological research. See also:
|
||
<code>levelnet</code> R package.</li>
|
||
<li><a
|
||
href="https://CRAN.R-project.org/package=blockmodeling">blockmodeling</a>
|
||
- Implementats generalized blockmodeling for valued networks.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=bnlearn">bnlearn</a> -
|
||
Tools for <a href="http://www.bnlearn.com/">Bayesian network learning
|
||
and inference</a> (<a
|
||
href="https://paulgovan.github.io/RiskNetwork">related Shiny
|
||
app</a>).</li>
|
||
<li><a
|
||
href="https://CRAN.R-project.org/package=brainGraph">brainGraph</a> -
|
||
Tools for performing graph theory analysis of brain MRI data.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=btergm">btergm</a> -
|
||
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.</li>
|
||
<li><a href="https://github.com/matthewjdenny/CCAS">CCAS</a> -
|
||
Statistical model for communication networks.</li>
|
||
<li><a href="https://github.com/aslez/concoR">concoR</a> -
|
||
Implementation of the CONCOR network blockmodeling algorithm (<a
|
||
href="http://badhessian.org/2015/05/concor-in-r/">blog post</a>).</li>
|
||
<li><a
|
||
href="https://github.com/matthewjdenny/ContentStructure">ContentStructure</a>
|
||
- Implements an extension to the <a
|
||
href="http://dirichlet.net/pdf/krafft12topic-partitioned.pdf">Topic-Partitioned
|
||
Multinetwork Embeddings (TPME) model</a>.</li>
|
||
<li><a href="https://github.com/rich-iannone/DiagrammeR">DiagrammeR</a>
|
||
- Connects R, RStudio and JavaScript libraries to draw graph diagrams
|
||
(<a
|
||
href="https://blog.rstudio.org/2015/05/01/rstudio-v0-99-preview-graphviz-and-diagrammer/">blog
|
||
post</a>).</li>
|
||
<li><a href="https://CRAN.R-project.org/package=dodgr">dodgr</a> -
|
||
Computes distances on dual-weighted directed graphs, such as street
|
||
networks, using priority-queue shortest paths.</li>
|
||
<li><a href="https://github.com/schochastics/edgebundle">edgebundle</a>
|
||
- Edge bundling algorithms, useful to e.g. draw networks of transport
|
||
maps.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=egor">egor</a> - Tools
|
||
for importing, analyzing and visualizing ego-centered network data, in
|
||
various formats.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=EpiModel">EpiModel</a> -
|
||
Tools for simulating mathematical models of infectious disease dynamics
|
||
(<a href="https://doi.org/10.18637%2Fjss.v084.i08">presentation
|
||
paper</a>).</li>
|
||
<li><a href="https://CRAN.R-project.org/package=ergm">ergm</a> -
|
||
Estimation of Exponential Random Graph Models (ERGMs).
|
||
<ul>
|
||
<li><a
|
||
href="http://mjh4.blogspot.com/2012/09/ergm-edgecov-and-dyadcov-specifications.html">ERGM:
|
||
edgecov and dyadcov Specifications</a>.</li>
|
||
</ul></li>
|
||
<li><a
|
||
href="https://CRAN.R-project.org/package=ergMargins">ergMargins</a> -
|
||
Process analysis for ERGMs.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=ergmito">ergmito</a> -
|
||
ERGMs for small networks.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=fergm">fergm</a> -
|
||
Frailty ERGMs.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=GERGM">GERGM</a> -
|
||
Estimation and diagnosis of the convergence of Generalized Exponential
|
||
Random Graph Models (GERGM).</li>
|
||
<li><a href="https://CRAN.R-project.org/package=geomnet">geomnet</a> -
|
||
Single-geometry approach to network visualization with
|
||
<code>ggplot2</code>.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=ggnetwork">ggnetwork</a>
|
||
- Multiple-geometries approach to plot network objects with
|
||
<code>ggplot2</code>.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=ggraph">ggraph</a> -
|
||
Grammar of graph graphics built in the spirit of <code>ggplot2</code>.
|
||
See also: <code>tidygraph</code> R package.</li>
|
||
<li><a href="https://github.com/snlab-ch/goldfish">goldfish</a> -
|
||
Dynamic Network Actor-Oriented Model (DyNAM) for the statistical
|
||
analysis of coordination networks through time.</li>
|
||
<li><a
|
||
href="https://CRAN.R-project.org/package=graphlayouts">graphlayouts</a>
|
||
- Layout algorithms based on the concept of <a
|
||
href="https://doi.org/10.1007/978-3-540-31843-9_25">stress
|
||
majorization</a>.
|
||
<ul>
|
||
<li><a
|
||
href="http://blog.schochastics.net/post/introducing-graphlayouts-with-got/">Introducing
|
||
graphlayouts with Game of Thrones</a>.</li>
|
||
<li><a href="https://mr.schochastics.net/material/netVizR/">Network
|
||
Visualizations in R using ggraph and graphlayouts</a>.</li>
|
||
</ul></li>
|
||
<li><a href="https://CRAN.R-project.org/package=hergm">hergm</a> -
|
||
Estimate and simulate hierarchical exponential-family random graph
|
||
models (HERGM) with local dependence.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=hierformR">hierformR</a>
|
||
– Determine paths and states that social networks develop over time to
|
||
form social hierarchies.</li>
|
||
<li><a href="http://igraph.org/r/">igraph</a> - A collection of network
|
||
analysis tools.
|
||
<ul>
|
||
<li><a href="http://kateto.net/networks-r-igraph">Network Analysis and
|
||
Visualization with R and igraph</a> (2016).</li>
|
||
</ul></li>
|
||
<li><a
|
||
href="https://github.com/benyamindsmith/ig.degree.betweenness/">ig.degree.betweenness</a>
|
||
- an igraph implementation of the <a
|
||
href="https://arxiv.org/abs/2411.01394">Smith-Pittman</a> community
|
||
detection algorithm (2024).</li>
|
||
<li><a
|
||
href="https://CRAN.R-project.org/package=influenceR">influenceR</a> -
|
||
Compute various node centrality network measures by Burt, Borgatti and
|
||
others.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=keyplayer">keyplayer</a>
|
||
- Implements several network centrality measures.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=latentnet">latentnet</a>
|
||
- Latent position and cluster models for network objects.</li>
|
||
<li><a href="https://github.com/schochastics/levelnet">levelnet</a> -
|
||
Experimental package to analyze one-mode projections of bipartite
|
||
(two-mode) networks. See also: <code>bipartite</code> R package.</li>
|
||
<li><a
|
||
href="https://www.bioconductor.org/packages/release/bioc/html/lpNet.html">lpNet</a>
|
||
- Linear programming model aimed at infering biological (signalling,
|
||
gene) networks.</li>
|
||
<li><a href="https://cran.r-project.org/package=mlergm">mlergm</a> -
|
||
Multilevel Exponential-Family Random Graph Models, to model nodes nested
|
||
within known blocks.</li>
|
||
<li><a
|
||
href="https://cran.r-project.org/package=multigraph">multigraph</a> -
|
||
Functions to build and visualize all sorts of multigraphs.</li>
|
||
<li><a
|
||
href="https://cran.r-project.org/package=multigraphr">multigraphr</a> -
|
||
Random multigraph models, statistics of multigraph properties, and
|
||
goodness of fit tests.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=multinet">multinet</a> -
|
||
Tools for multilayer social networks.
|
||
<ul>
|
||
<li><a href="http://multilayer.it.uu.se/">Related book and data</a>, and
|
||
<a href="http://multilayer.it.uu.se/papers/jss.pdf">presentation
|
||
article</a>. See <code>uunet</code> for the Python version.</li>
|
||
</ul></li>
|
||
<li><a href="https://cran.r-project.org/package=multinets">multinets</a>
|
||
- Package to handle multilevel networks in <code>igraph</code>.</li>
|
||
<li><a
|
||
href="https://CRAN.R-project.org/web/packages/migraph/">migraph</a> - A
|
||
set of tools that extend common social network analysis packages for
|
||
analysing multimodal and multilevel networks.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=ndtv">ndtv</a> - Tools
|
||
to construct animated visualizations of dynamic network data in various
|
||
formats.</li>
|
||
<li><a href="https://github.com/neo4j-rstats/neo4r">neo4r</a> - Neo4J
|
||
driver for R.</li>
|
||
<li><a
|
||
href="https://christophergandrud.github.io/networkD3/">networkD3</a> -
|
||
Create d3.js network graphs from R.</li>
|
||
<li><a
|
||
href="https://CRAN.R-project.org/package=netdiffuseR">netdiffuseR</a> -
|
||
Tools to analyze the network diffusion of innovations.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=netrankr">netrankr</a> -
|
||
Up-to-date collection of network centrality indices, with lots of
|
||
documentation.
|
||
<ul>
|
||
<li><a
|
||
href="http://blog.schochastics.net/post/network-centrality-in-r-introduction/">Network
|
||
Centrality in R: An Introduction</a> - Includes a review of relevant R
|
||
packages.</li>
|
||
<li><a
|
||
href="http://blog.schochastics.net/post/network-centrality-in-r-neighborhood-inclusion/">Network
|
||
Centrality in R: Neighborhood Inclusion</a>.</li>
|
||
<li><a
|
||
href="http://blog.schochastics.net/post/network-centrality-in-r-new-ways-of-measuring-centrality/">Network
|
||
Centrality in R: New Ways of Measuring Centrality</a> (2018).</li>
|
||
</ul></li>
|
||
<li><a href="https://mbojan.github.io/netseg/">netseg</a> - Various
|
||
measures of network segregation and homophily.</li>
|
||
<li><a href="http://www.christoph-stadtfeld.com/netsim/">NetSim</a> -
|
||
Simulate and combine micro-models to research their impact on the
|
||
macro-features of social networks.</li>
|
||
<li><a href="https://github.com/schochastics/netUtils">netUtils</a> -
|
||
Various network functions and methods, e.g. computing the Cartesian
|
||
product of two graphs or fitting a discrete core periphery model.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=network">network</a> -
|
||
Basic tools to manipulate relational data in R.</li>
|
||
<li><a
|
||
href="https://github.com/schochastics/networkdata">networkdata</a> -
|
||
Includes 979 network datasets containing 2135 networks.</li>
|
||
<li><a
|
||
href="https://github.com/chengjun/networkdiffusion">networkdiffusion</a>
|
||
- Simulate and visualize basic epidemic diffusion in networks.</li>
|
||
<li><a
|
||
href="https://CRAN.R-project.org/package=networkDynamic">networkDynamic</a>
|
||
- Support for dynamic, (inter)temporal networks.</li>
|
||
<li><a
|
||
href="https://CRAN.R-project.org/package=networksis">networksis</a> -
|
||
Tools to simulate bipartite networksgraphs with the degrees of the nodes
|
||
fixed and specified.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=PAFit">PAFit</a> -
|
||
Nonparametric estimation of preferential attachment and node fitness in
|
||
temporal complex networks.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=PCIT">PCIT</a> -
|
||
Implements Partial Correlation with Information Theory in order to
|
||
identify meaningful correlations in weighted networks, such as gene
|
||
co-expression networks.</li>
|
||
<li><a
|
||
href="https://bioconductor.org/packages/3.3/bioc/html/RCy3.html">RCy3</a>
|
||
- Interface between R and recent versions of Cytoscape.</li>
|
||
<li><a
|
||
href="https://bioconductor.org/packages/release/bioc/html/RCyjs.html">RCyjs</a>
|
||
- Interface between R and Cytoscape.js.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=qgraph">qgraph</a> -
|
||
Tools to model and visualize psychometric networks; also aimed at
|
||
weighted graphical models).
|
||
<ul>
|
||
<li><a
|
||
href="http://psychosystems.org/network-model-selection-using-qgraph-1-3-10/">Network
|
||
Model Selection Using qgraph 1.3</a> (2014).</li>
|
||
<li><a href="http://sachaepskamp.com/qgraph/examples">qgraph
|
||
Examples</a>.</li>
|
||
<li><a href="https://www.jstatsoft.org/article/view/v048i04">qgraph:
|
||
Network Visualizations of Relationships in Psychometric Data</a>
|
||
(2012).</li>
|
||
</ul></li>
|
||
<li><a href="https://CRAN.R-project.org/package=relevent">relevent</a> -
|
||
Tools to fit relational event models (REM).
|
||
<ul>
|
||
<li><a href="https://CRAN.R-project.org/package=informR">informR</a> -
|
||
Tools to create sequence statistics from event lists to be used in
|
||
<code>relevent</code>.</li>
|
||
</ul></li>
|
||
<li><a href="https://CRAN.R-project.org/package=rem">rem</a> - Estimate
|
||
endogenous network effects in event sequences and fit relational event
|
||
models (REM), which measure how networks form and evolve over time.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=rgexf">rgexf</a> -
|
||
Export network objects from R to GEXF for manipulation with software
|
||
like Gephi or Sigma.</li>
|
||
<li><a
|
||
href="https://bioconductor.org/packages/release/bioc/html/Rgraphviz.html">Rgraphviz</a>
|
||
- Support for using the Graphviz library and its DOT graph drawing
|
||
language from within R.</li>
|
||
<li><a href="http://r-forge.r-project.org/R/?group_id=461">RSiena</a> -
|
||
Simulation Investigation for Empirical Network Analysis; fits models to
|
||
longitudinal network data.</li>
|
||
<li><a href="http://signnet.schochastics.net/">signnet</a> Methods to
|
||
analyse signed networks (structural balance, blockmodeling, centrality,
|
||
etc.).</li>
|
||
<li><a href="https://CRAN.R-project.org/package=sna">sna</a> - Basic
|
||
network constructors, measures and visualization tools.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=snahelper">snahelper</a>
|
||
- RStudio addin which provides a GUI to visualize and analyse networks
|
||
<ul>
|
||
<li><a
|
||
href="http://blog.schochastics.net/post/an-rstudio-addin-for-network-analysis-and-visualization/">Introduction
|
||
to snahelper (Part 1)</a></li>
|
||
<li><a
|
||
href="http://blog.schochastics.net/post/new-rstudio-addins-for-network-analysis/">Introduction
|
||
to snahelper (Part 2)</a></li>
|
||
</ul></li>
|
||
<li><a
|
||
href="https://CRAN.R-project.org/package=SocialMediaLab">SocialMediaLab</a>
|
||
- Tools for collecting social media data and generating networks from it
|
||
(<a href="http://vosonlab.net/SocialMediaLab">companion website</a>, <a
|
||
href="https://github.com/voson-labSocialMediaLab">github repo</a>).</li>
|
||
<li><a href="http://people.bu.edu/jccs/spectralGOF.html">spectralGOF</a>
|
||
- Computes the spectral goodness of fit (SGOF), a measure of how well a
|
||
network model explains the structure of an observed network.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=spnet">spnet</a> -
|
||
Methods for visualizing spatial networks on maps in the <code>sp</code>
|
||
class.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=spNetwork">spNetwork</a>
|
||
- Methods for spatial network analysis, including e.g. kernel density
|
||
estimation, distances and point pattern analysis.</li>
|
||
<li><a href="https://statnet.org/">statnet</a> - The project behind many
|
||
R network analysis packages (<a
|
||
href="https://mailman13.u.washington.edu/mailman/listinfo/statnet_help">mailing-list</a>,
|
||
<a href="https://statnet.org/workshops/">tutorials/workshops</a>).
|
||
<ul>
|
||
<li><a
|
||
href="https://statnet.org/workshop-ergm/ergm_tutorial.html">Exponential
|
||
Random Graph Models (ERGMs) Using statnet</a> (2022).</li>
|
||
<li><a href="http://www.melissaclarkson.com/resources/R_guides/">Guides
|
||
for Using the statnet Package</a> (2010).</li>
|
||
<li><a href="https://statnet.org/workshop-valued/valued.html">Modeling
|
||
Valued Networks with statnet</a> (2022).</li>
|
||
</ul></li>
|
||
<li><a href="https://CRAN.R-project.org/package=tergm">tergm</a> - Fit,
|
||
simulate and diagnose models for temporal exponential-family random
|
||
graph models (TERGM).</li>
|
||
<li><a href="https://CRAN.R-project.org/package=tidygraph">tidygraph</a>
|
||
- ‘Tidy’ approach to building graph structures. See also:
|
||
<code>ggraph</code> R package.
|
||
<ul>
|
||
<li><a
|
||
href="https://www.data-imaginist.com/2017/introducing-tidygraph/">Introducing
|
||
tidygraph</a></li>
|
||
<li><a
|
||
href="https://posit.co/resources/videos/tidying-up-your-network-analysis-with-tidygraph-and-ggraph/">Tidying
|
||
up your network analysis with tidygraph and ggraph</a></li>
|
||
</ul></li>
|
||
<li><a href="https://CRAN.R-project.org/package=tnam">tnam</a> - Tools
|
||
to fit temporal and cross-sectional network autocorrelation models
|
||
(TNAM).</li>
|
||
<li><a href="https://CRAN.R-project.org/package=tnet">tnet</a> - Network
|
||
measures for weighted, two-mode and longitudinal networks.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=tsna">tsna</a> - Tools
|
||
for temporal social network analysis.</li>
|
||
<li><a href="https://github.com/DataKnowledge/visNetwork">visNetwork</a>
|
||
- Using vis.js library for network visualization.</li>
|
||
<li><a href="https://CRAN.R-project.org/package=xergm">xergm</a> -
|
||
Extensions of exponential random graph models (ERGM, GERGM, TERGM, TNAM
|
||
and REM).</li>
|
||
</ul>
|
||
<h3 id="stata">Stata</h3>
|
||
<ul>
|
||
<li><a href="https://nwcommands.wordpress.com/">nwcommands: Network
|
||
Analysis Using Stata</a> (<a
|
||
href="http://www.statalist.org/forums/forum/general-stata-discussion/general/1290963-network-analysis-which-command-to-use">discussion</a>,
|
||
<a
|
||
href="https://nwcommands.wordpress.com/tutorials-and-slides/">tutorials
|
||
and slides</a>).</li>
|
||
<li><a
|
||
href="http://www.rensecorten.org/index.php/category/sna-with-stata/">SNA
|
||
with Stata</a> - Blog documenting the use of the netplot Stata
|
||
package.</li>
|
||
</ul>
|
||
<h3 id="syntaxes">Syntaxes</h3>
|
||
<blockquote>
|
||
<p>Generic graph syntaxes intended for use by several programs.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a href="http://www.graphviz.org/doc/info/lang.html">DOT</a> - Graph
|
||
drawing syntax used by the Graphviz software.</li>
|
||
<li><a href="https://gexf.net">GEXF</a> - File format used by the Gephi
|
||
software.</li>
|
||
<li><a href="http://graphml.graphdrawing.org/">GraphML</a> -
|
||
Comprehensive and easy-to-use file format for graphs (<a
|
||
href="https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/BrEiLe10.pdf">handbook
|
||
chapter</a>).</li>
|
||
<li><a href="https://jgrapht.org/">JGraphT</a> - Java graph library for
|
||
graph data structures and algorithms (<a
|
||
href="https://github.com/agouge/Java-Network-Analyzer">example
|
||
algorithms</a>).</li>
|
||
<li><a href="https://jung.sourceforge.net/">JUNG - Java Universal
|
||
Network/Graph Framework</a> - Extensible library to represent network
|
||
objects.</li>
|
||
<li><a href="http://www.ctan.org/tex-archive/graphics/pgf/">PGF/TikZ</a>
|
||
- <a href="https://en.wikipedia.org/wiki/PGF/TikZ">Tandem</a> of vector
|
||
graphics languages that can be used to draw graphs in the <a
|
||
href="https://latex-project.org/">LaTeX</a> typesetting environment.
|
||
<ul>
|
||
<li><a href="https://github.com/egeerardyn/awesome-LaTeX#tikz">Awesome
|
||
LaTeX: TiKZ</a>.</li>
|
||
<li><a
|
||
href="https://tex.stackexchange.com/questions/57152/how-to-draw-graphs-in-latex">How
|
||
to Draw Graphs in LaTeX?</a></li>
|
||
<li><a href="http://www.texample.net/tikz/examples/tag/graphs/">TikZ
|
||
Graph Examples</a>.</li>
|
||
<li><a
|
||
href="http://distrib-coffee.ipsl.jussieu.fr/pub/mirrors/ctan/graphics/pgf/base/doc/pgfmanual.pdf">TikZ
|
||
& PGF Manual</a>.</li>
|
||
<li><a href="http://altermundus.com/pages/tkz/index.html">TKZ</a> -
|
||
Packages based on TikZ.</li>
|
||
</ul></li>
|
||
<li><a href="http://tulip.labri.fr/TulipDrupal/?q=tlp-file-format">TLP -
|
||
Tulip Software Graph Format</a> - Graph syntax used by the Tulip
|
||
software framework.</li>
|
||
<li><a
|
||
href="http://neo4j.com/docs/stable/cypher-query-lang.html">Cypher</a> -
|
||
Graph query language used by <a href="http://neo4j.com/">Neo4j</a>.</li>
|
||
</ul>
|
||
<h3 id="tutorials">Tutorials</h3>
|
||
<blockquote>
|
||
<p>Tutorials that are not focused on a single specific software package
|
||
or program.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a href="https://github.com/schochastics/centrality">A tutorial for
|
||
network centrality in R</a> (2023).</li>
|
||
<li><a href="http://kateto.net/sunbelt2016">Basic and Advanced Network
|
||
Visualization with Gephi and R</a> (2016).</li>
|
||
<li><a href="https://mr.schochastics.net/material/netAnaR/">Basic
|
||
Network Analysis in R using igraph and related packages</a> (2022).</li>
|
||
<li><a href="http://curleylab.psych.columbia.edu/netviz/">Interactive
|
||
and Dynamic Network Visualization in R</a> and JavaScript libraries
|
||
(2016).</li>
|
||
<li><a
|
||
href="https://www.academia.edu/11450425/Nodegoat_and_Palladio_Introductory_Workshop_by_Emmanuelle_Chaze">Nodegoat
|
||
and Palladio: Introductory Workshop</a> - Aimed at humanists
|
||
(2015).</li>
|
||
<li><a href="http://kateto.net/network-visualization">Static and Dynamic
|
||
Network Visualization with R</a> - Covers the igraph, network, ggraph,
|
||
network, networkD3, ndtv, threejs and visNetwork packages (2019).</li>
|
||
<li><a href="https://mr.schochastics.net/material/tidynetAnaR/">Tidy
|
||
Network Analysis in R using the tidygraph package</a> (2022).</li>
|
||
</ul>
|
||
<h2 id="varia">Varia</h2>
|
||
<blockquote>
|
||
<p>Resources that do not fit in other categories.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a
|
||
href="http://www.k-government.com/2016/06/28/100-herramientas-analisis-redes-sna-ars/">+100
|
||
herramientas para el análisis de redes sociales</a> - Long list of
|
||
diverse applications of network analysis, with shorts descriptions in
|
||
Spanish.</li>
|
||
<li><a
|
||
href="https://github.com/benedekrozemberczki/awesome-graph-classification">Awesome
|
||
graph classification</a> - Comprehensive list of graph embedding papers
|
||
with title, authors, link to the paper and reference
|
||
implementation.</li>
|
||
<li><a
|
||
href="https://github.com/benedekrozemberczki/awesome-community-detection">Awesome
|
||
community detection</a> - Comprehensive list of community detection
|
||
papers with title, authors, link to the paper and reference
|
||
implementation.</li>
|
||
<li><a
|
||
href="http://yro.ch/centrality-measures-signature-roles-rousseaus-les-confessions/">Centrality
|
||
Measures as a Signature of Roles in Rousseau’s <em>Les
|
||
Confessions</em></a> - Analysis of a real-world character network.</li>
|
||
<li><a href="https://cvcedhlab.hypotheses.org/106">Cheat Sheet: Social
|
||
Network Analysis for Humanists</a> - Basic notions to remember when
|
||
assembling and manipulating network data.</li>
|
||
<li><a
|
||
href="https://www.youtube.com/playlist?list=PLz79Il7EOvUJxdQ9r2IefFtr--BNkfOa7">Computer
|
||
Technologies for the Historical Research of Intellectual Networks</a> -
|
||
Series of videos by historians, featuring Marten Düring and Scott
|
||
Weingart.</li>
|
||
<li><a href="http://awesome.cs.jhu.edu/graph-services/convert/">Convert
|
||
Between Graph Formats</a> - Online service to convert from/to many
|
||
different common graph formats.</li>
|
||
<li><a
|
||
href="https://thesocietypages.org/methods/2015/01/30/david-knoke-on-network-analysis/">David
|
||
Knoke on Network Analysis</a> - 20-minute interview that discusses the
|
||
uses and benefits of network analysis, drawing upon Knoke’s research on
|
||
terrorist networks.</li>
|
||
<li><a
|
||
href="https://statnet.org/trac/raw-attachment/wiki/Resources/glossary.pdf">Glossary
|
||
of Terms for Statistical Network Models</a>.</li>
|
||
<li><a href="http://moreno.ss.uci.edu/pubs.html">Linton C. Freeman’s
|
||
Social Network Research Publications</a>, spanning from 1955 to
|
||
today.</li>
|
||
<li><a href="http://republicofletters.stanford.edu/">Mapping the
|
||
Republic of Letters</a> - Research project on early-modern scholarship
|
||
(<a href="http://www.densitydesign.org/research/knot/">underlying
|
||
software</a>).</li>
|
||
<li><a
|
||
href="https://www.youtube.com/playlist?list=PL3zdEY084WkQD79mR00RSt8j5RuyPwMJE">Mixed-Method
|
||
Approaches to Social Network Analysis</a> - Videos of a conference at
|
||
the Middlesex University School of Law (2014).</li>
|
||
<li><a href="https://www.youtube.com/watch?v=1xLjYc7EUEU">Modeling
|
||
Complex Social Networks: Challenges and Opportunities for Statistical
|
||
Learning and Inference</a> - Video of a seminar talk by Jennifer Neville
|
||
at Purdue University (2011).</li>
|
||
<li><a
|
||
href="https://sites.google.com/a/binghamton.edu/netscied/home">NetSciEd
|
||
- Network Science in Education</a> - International initiative aimed at
|
||
improving network literacy.</li>
|
||
<li><ol class="example" type="1">
|
||
<li><a href="https://twitter.com/networkfact">Network Fact</a> - Twitter
|
||
account on networks, graph theory, and related topics.</li>
|
||
</ol></li>
|
||
<li><a
|
||
href="https://paolonegrini.wordpress.com/2012/11/19/network-map-of-knowledge-and-art/">Network
|
||
Map of Knowledge and Art</a> - DBPedia-derived networks of
|
||
who-was-influenced-by-whom directed ties, using SPARQL and Gephi.</li>
|
||
<li><ol start="2" class="example" type="1">
|
||
<li><a
|
||
href="https://twitter.com/Ognyanova/lists/network-science/members">Network
|
||
Science</a> - A thematic list of Twitter accounts, curated by <a
|
||
href="https://twitter.com/Ognyanova">Katherine Ognyanova</a>.</li>
|
||
</ol></li>
|
||
<li><a
|
||
href="https://groups.google.com/forum/?hl=en-GB#!forum/the-networks-network">The
|
||
Networks Network</a> - Mailing-list (mostly historians from the HNR
|
||
network).</li>
|
||
<li><a
|
||
href="http://www.birs.ca/events/2015/5-day-workshops/15w5080/videos">New
|
||
Perspectives for Relational Learning</a> - Videos (and more) from a
|
||
workshop at the Banff International Research Station (BIRS) (2015).</li>
|
||
<li><a href="http://ogp.me/">Open Graph protocol</a> - A proposed
|
||
standard to turn any Web page into a “social graph object.”</li>
|
||
<li><a href="http://schochastics.net/sna/periodic.html">Periodic Table
|
||
of Network Centrality</a> - Interactive periodic table of centrality
|
||
indices.</li>
|
||
<li><a
|
||
href="https://codeandculture.wordpress.com/2015/04/03/picking-sides/">Picking
|
||
Sides</a> - Community detection in the political network of Middle
|
||
Eastern alliances between various state and nonstate powers (<a
|
||
href="https://gist.github.com/briatte/c6df2f855afb4eb142e6">updated
|
||
version</a>).
|
||
<!-- - [Plan interactif du métro](http://www.jeromecukier.net/projects/metro/map.html) - Interactive visualization of the Paris metro network, drawn with d3.js, in French. --></li>
|
||
<li><a href="http://psych-networks.com/">Psych Networks</a> - Website
|
||
with news, references and <a
|
||
href="https://psych-networks.com/tutorials/">tutorials</a> about network
|
||
modeling for psychological data.</li>
|
||
<li><a
|
||
href="http://psych-networks.com/tutorial-paper-new-methods-estimating-psychological-networks/">Tutorial
|
||
Paper on New Methods for Estimating Psychological Networks</a>.</li>
|
||
<li><a href="https://osf.io/6axte/">(Psychological) Network Analysis
|
||
Workshops</a> - 3-day workshop on psychological network analysis using R
|
||
(2019).</li>
|
||
<li><a href="https://cvcedhlab.hypotheses.org/125">Should I do Social
|
||
Network Analysis?</a>.</li>
|
||
<li><a
|
||
href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0027407">The
|
||
Small World of Psychopathology</a> - Paper on how psychiatric symptoms
|
||
connec to each other (<a
|
||
href="https://sites.google.com/site/dsmgraphs/Home/files">code, data and
|
||
graphs</a>).</li>
|
||
<li><a
|
||
href="http://othes.univie.ac.at/12285/1/2010-10-14_0703857.pdf">Social
|
||
Network Analysis in DBpedia</a> - Highly didactic Master’s dissertation,
|
||
showing how to use SPARQL and Pajek.</li>
|
||
<li><a
|
||
href="https://dlist.server.uni-frankfurt.de/mailman/listinfo/sna-de">SNA-DE
|
||
Mailing-List</a>, in German.</li>
|
||
<li><a
|
||
href="http://semanticweb.cs.vu.nl/R/sparql_hollywood/sparql_hollywood.html">SPARQL
|
||
for R Tutorial - Hollywood Social Network Analysis</a> - Also uses
|
||
Gephi.</li>
|
||
<li><a
|
||
href="http://nealcaren.web.unc.edu/a-sociology-citation-network/">A
|
||
Sociology Citation Network</a> and <a
|
||
href="https://kieranhealy.org/blog/archives/2013/06/18/a-co-citation-network-for-philosophy/">A
|
||
Co-citation Network for Philosophy</a> - Examples of scientific
|
||
co-citation networks.</li>
|
||
<li><a
|
||
href="https://kieranhealy.org/blog/archives/2013/06/09/using-metadata-to-find-paul-revere/">Using
|
||
Metadata to Find Paul Revere</a> and <a
|
||
href="http://www.sscnet.ucla.edu/polisci/faculty/chwe/ps269/han.pdf">The
|
||
Other Ride of Paul Revere: The Brokerage Role in the Making of the
|
||
American Revolution</a> - Network analysis applied to American
|
||
revolutionaries.</li>
|
||
<li><a href="http://www.visualcomplexity.com/vc/">Visual Complexity. An
|
||
Exploration on Mapping Complex Networks</a> - Tons of beautiful network
|
||
and tree visualizations (<a
|
||
href="http://www.visualcomplexity.com/vc/book/">book</a>, also in
|
||
Chinese and French).</li>
|
||
<li><a
|
||
href="https://histecon.fas.harvard.edu/visualizing/index.html">Visualizing
|
||
Historical Networks</a> - Historical network research projects at
|
||
Harvard University.
|
||
<ul>
|
||
<li><a
|
||
href="https://histecon.fas.harvard.edu/visualizing/angouleme/index.html">Angoulême
|
||
in 1764</a>.</li>
|
||
<li><a
|
||
href="https://histecon.fas.harvard.edu/visualizing/graphing/economists.html">Economists
|
||
in Cambridge</a>.</li>
|
||
<li><a
|
||
href="https://histecon.fas.harvard.edu/visualizing/graphing/innerlife.html">The
|
||
Inner Life of Empires: An Eighteenth Century History</a>.</li>
|
||
</ul></li>
|
||
</ul>
|
||
<h3 id="blog-series">Blog Series</h3>
|
||
<blockquote>
|
||
<p>Series of blog posts on network topics.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a
|
||
href="http://archaeologicalnetworks.wordpress.com/">Archaeological
|
||
Networks</a> - Tom Brughmans’ blog, aimed at archaeologists and
|
||
historians.</li>
|
||
<li><a
|
||
href="https://www.cs.unm.edu/~aaron/blog/archives/networks/index.htm">Blog
|
||
Posts About Networks by Aaron Clauset</a>.</li>
|
||
<li><a href="http://coulmont.com/index.php?s=r%C3%A9seaux">Blog Posts
|
||
About Networks by Baptiste Coulmont</a>, in French.</li>
|
||
<li><a href="http://bactra.org/weblog/cat_networks.html">Blog Posts
|
||
About Networks by Cosma R. Shalizi</a>.</li>
|
||
<li><a href="https://politbistro.hypotheses.org/tag/reseaux">Blog Posts
|
||
About Networks by François Briatte</a>, in French.</li>
|
||
<li><a href="http://kateto.net/networks">Blog Posts About Networks by
|
||
Katya Ognyanova</a>.</li>
|
||
<li><a href="http://pierremerckle.fr/category/reseaux/">Blog Posts About
|
||
Networks by Pierre Mercklé</a>, in French.</li>
|
||
<li><a href="http://badhessian.org/category/networks/">Blog Posts About
|
||
Networks on the Bad Hessian Blog</a>, by various contributors.</li>
|
||
<li>Blog posts about networks on <a
|
||
href="http://www.r-bloggers.com/">R-Bloggers</a>, an aggregator of R
|
||
blogs:
|
||
<ul>
|
||
<li><a href="http://www.r-bloggers.com/?s=networks">Networks</a>.</li>
|
||
<li><a
|
||
href="http://www.r-bloggers.com/?s=social+network+analysis">Social
|
||
Network Analysis</a>.</li>
|
||
</ul></li>
|
||
<li><a href="http://bactra.org/notebooks">Cosma R. Shalizi’s
|
||
Notebooks</a> on network-related topics, definitely worth listing in
|
||
(selective) detail:
|
||
<ul>
|
||
<li><a
|
||
href="http://bactra.org/notebooks/network-data-analysis.html">Analysis
|
||
of Network Data</a>.</li>
|
||
<li><a
|
||
href="http://bactra.org/notebooks/neutral-cultural-networks.html">Assortative
|
||
Social Networks and Neutral Cultural Evolution</a>.</li>
|
||
<li><a
|
||
href="http://bactra.org/notebooks/biochem-network-evol.html">Biochemical
|
||
Network Evolution</a>.</li>
|
||
<li><a href="http://bactra.org/notebooks/citations.html">Citations and
|
||
Citation Networks</a>.</li>
|
||
<li><a
|
||
href="http://bactra.org/notebooks/community-discovery.html">Community
|
||
Discovery Methods for Complex Networks</a>.</li>
|
||
<li><a href="http://bactra.org/notebooks/complex-networks.html">Complex
|
||
Networks</a>.</li>
|
||
<li><a
|
||
href="http://bactra.org/notebooks/network-experiments.html">Experiments
|
||
on Social Networks</a>.</li>
|
||
<li><a href="http://bactra.org/notebooks/ergms.html">Exponential Random
|
||
Graph Models (ERGMs)</a>.</li>
|
||
<li><a href="http://bactra.org/notebooks/graph-sampling.html">Graph
|
||
Sampling Algorithms</a>.</li>
|
||
<li><a href="http://bactra.org/notebooks/graph-theory.html">Graph
|
||
Theory</a>.</li>
|
||
<li><a
|
||
href="http://bactra.org/notebooks/homophily-vs-influence.html">Homophily
|
||
and Influence in Social Networks</a>.</li>
|
||
<li><a
|
||
href="http://bactra.org/notebooks/inferring-networks.html">Inferring
|
||
Networks from Non-Network Data</a>.</li>
|
||
<li><a href="http://bactra.org/notebooks/text-networks.html">Joint
|
||
Modeling of Texts and Networks</a>.</li>
|
||
<li><a
|
||
href="http://bactra.org/notebooks/network-comparisons.html">Network
|
||
Comparison</a>.</li>
|
||
<li><a
|
||
href="http://bactra.org/notebooks/networks-of-political-actors.html">Networks
|
||
of Political Actors</a>.</li>
|
||
<li><a
|
||
href="http://bactra.org/notebooks/relational-learning.html">Relational
|
||
Learning</a>.</li>
|
||
<li><a href="http://bactra.org/notebooks/social-contagion.html">Social
|
||
Contagion, Information Cascades, Diffusion of Innovations, Etc.</a></li>
|
||
<li><a href="http://bactra.org/notebooks/social-networks.html">Social
|
||
Networks</a>.</li>
|
||
<li><a
|
||
href="http://bactra.org/notebooks/stochastic-block-models.html">Stochastic
|
||
Block Models</a>.
|
||
<ul>
|
||
<li>See also: <a
|
||
href="https://www.alexpghayes.com/blog/an-annotated-bibliography-on-stochastic-block-models/">An
|
||
Annotated Bibliography on Stochastic Blockmodels</a> (2019).</li>
|
||
</ul></li>
|
||
</ul></li>
|
||
<li>Daniel Little’s blog posts on the philosophy of social science:
|
||
<ul>
|
||
<li><a
|
||
href="https://understandingsociety.blogspot.com/search/label/networks">Networks</a>.</li>
|
||
<li><a
|
||
href="https://understandingsociety.blogspot.com/search/label/social%20networks">Social
|
||
Networks</a>.</li>
|
||
</ul></li>
|
||
<li>Martin Grandjean’s blog posts about (mostly) network visualization,
|
||
in English and French:
|
||
<ul>
|
||
<li><a
|
||
href="https://www.martingrandjean.ch/tag/analyse-de-reseau/">Network
|
||
Analysis</a>.</li>
|
||
<li><a href="https://www.martingrandjean.ch/tag/reseaux-sociaux/">Social
|
||
Networks</a>.</li>
|
||
</ul></li>
|
||
<li><a
|
||
href="http://www.scottbot.net/HIAL/index.html@tag=networks-demystified.html">Networks
|
||
Demystified</a>, a series of blog posts by Scott B. Weingart.</li>
|
||
<li><a href="https://netzeundnetzwerke.de/">Netze und Netzwerke</a>, in
|
||
English and German - Blog on the history of network analysis, by
|
||
Sebastian Gießmann (<a href="http://www.netzeundnetzwerke.de/old/">old
|
||
blog</a>).</li>
|
||
<li><a href="https://f.briatte.org/r/category/networks">R / Notes:
|
||
Networks</a> - Blog posts focused on manipulating networks in R, by
|
||
François Briatte.</li>
|
||
<li><a href="http://www.thenetworkthinkers.com/">TNT: The Network
|
||
Thinkers</a> - Valdis Krebs’ blog.</li>
|
||
<li><a href="https://mboudour.github.io/">Under Roquentin’s Chestnut
|
||
Tree</a> - Moses Boudourides’ blog on analyzing (mostly) networks with
|
||
Python.</li>
|
||
<li>Yannick Rochat’s blog posts about digital humanities, in English and
|
||
French:
|
||
<ul>
|
||
<li><a href="https://yro.ch/tag/character-network/">Character
|
||
Networks</a>.</li>
|
||
<li><a href="https://yro.ch/tag/network-analysis/">Network
|
||
Analysis</a>.</li>
|
||
</ul></li>
|
||
</ul>
|
||
<h3 id="fictional-networks">Fictional Networks</h3>
|
||
<blockquote>
|
||
<p>Explorations of fictional character networks.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a
|
||
href="http://varianceexplained.org/r/love-actually-network/">Analyzing
|
||
Networks of Characters in <em>Love Actually</em></a> - Features a
|
||
cluster analysis and a <a
|
||
href="https://dgrtwo.shinyapps.io/love-actually-network/">Shiny app</a>
|
||
(using R + Shiny).</li>
|
||
<li><a
|
||
href="https://docs.bokeh.org/en/latest/docs/examples/topics/categorical/les_mis.html">Character
|
||
Co-Occurrences in Victor Hugo’s <em>Les Misérables</em></a>, plotted as
|
||
an adjacency matrix, written in Python (+ Javascript).
|
||
<!-- - [Events in the _Game of Thrones_](http://www.jeromecukier.net/projects/agot/events.html) and [Places in the _Game of Thrones_](http://www.jeromecukier.net/projects/agot/places.html) - Networked chronologies of character alliances, kills and travels in the book series, drawn with d3.js. --></li>
|
||
<li><a
|
||
href="http://badhessian.org/2012/09/lessons-on-exponential-random-graph-modeling-from-greys-anatomy-hook-ups/">Lessons
|
||
on Exponential Random Graph Modeling from <em>Grey’s Anatomy</em>
|
||
hook-ups</a> (using R).</li>
|
||
<li><a
|
||
href="https://mboudour.github.io/2015/10/28/Shakespeare's-Macbeth-Network.html">Network
|
||
Analysis of Shakespeare’s <em>Macbeth</em></a> (using Python).</li>
|
||
<li><a
|
||
href="https://mboudour.github.io/2016/04/17/Arthur-Conan-Doyle's-A-Study-in-Scarlet-Network-&-Trajectories.html">The
|
||
Network and Trajectories of Transitions among Sentential Co-Occurrences
|
||
of Characters of Arthur Conan Doyle’s <em>A Study in Scarlet</em></a>
|
||
(using Python; <a
|
||
href="https://github.com/mboudour/WordNets/blob/master/ArthurConanDoyle_AStudyInScarlet_Network%26Trajectories.ipynb">code</a>).</li>
|
||
<li><a
|
||
href="https://www.martingrandjean.ch/network-visualization-shakespeare/">Network
|
||
Visualization: Mapping Shakespeare’s Tragedies</a>.</li>
|
||
<li><a href="https://aclanthology.org/W12-2513/">Social Network Analysis
|
||
of <em>Alice in Wonderland</em></a>.</li>
|
||
<li><a
|
||
href="http://evelinag.com/blog/2016/01-25-social-network-force-awakens/index.html"><em>Star
|
||
Wars</em> Social Networks: The Force Awakens</a> - Also an example of a
|
||
social network analysis written in F#.</li>
|
||
<li><a href="https://doi.org/10.1209/0295-5075/99/28002">Universal
|
||
Properties of Mythological Networks</a> (<a
|
||
href="https://arxiv.org/abs/1205.4324">preprint</a>).</li>
|
||
</ul>
|
||
<h3 id="network-science">Network Science</h3>
|
||
<blockquote>
|
||
<p>Discussions of what “netsci” is about and means for other scientific
|
||
disciplines.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a href="https://journals.openedition.org/bms/595">Editing a Normal
|
||
Science Journal in Social Science</a> - Reflections on the <em>Social
|
||
Networks</em> journal by its founding editor.</li>
|
||
<li><a
|
||
href="https://www.cornell.edu/video/emergence-of-network-science">The
|
||
Emergence of Network Science</a> - Video documentary, featuring Steven
|
||
H. Strogatz and many others.</li>
|
||
<li>From <a
|
||
href="https://barabasi.com/publications/1/review-articles">Albert-László
|
||
Barabási’s review articles</a>:
|
||
<ul>
|
||
<li><a href="https://barabasi.com/f/182.pdf">Taming Complexity</a>.</li>
|
||
<li><a href="https://barabasi.com/f/362.pdf">The Network
|
||
Takeover</a>.</li>
|
||
</ul></li>
|
||
<li><a href="https://doi.org/10.1016/j.socnet.2004.06.002">The Invasion
|
||
of the Physicists</a> - How “network <em>science</em>” came up.</li>
|
||
<li><a
|
||
href="https://crookedtimber.org/2005/05/19/isolated-social-networkers/">Isolated
|
||
Social Networkers</a>, <a
|
||
href="http://bactra.org/weblog/347.html">Networks and Netwars</a> and <a
|
||
href="https://www.cs.unm.edu/~aaron/blog/archives/2005/05/the_interdiscip.htm">The
|
||
Inter-Disciplinary Politics of Interdisciplinary Research or, “Hey, That
|
||
Was My Idea First.”</a> - 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.</li>
|
||
<li><a href="https://www.jstor.org/stable/29737693">The ‘New’ Science of
|
||
Networks</a> - Review of network science books published in
|
||
2002-2003.</li>
|
||
<li><a href="https://arxiv.org/abs/1310.8220">Predicting Highly Cited
|
||
Papers</a> - Prediction of the next highly cited papers in network
|
||
science.</li>
|
||
<li><a
|
||
href="https://github.com/raffaelevacca/EUSN-co-citation-networks">Social
|
||
Network and Network Science Co-Citations Across Disciplines in
|
||
1996-2013</a>.</li>
|
||
<li><a href="http://environmentalpolicy.ucdavis.edu/node/292">Three Hard
|
||
Questions about Network Science</a>.</li>
|
||
<li><a
|
||
href="http://www.nature.com/nature/journal/v445/n7127/full/445489a.html">A
|
||
Twenty-First Century Science</a> - Essay by Duncan J. Watts.</li>
|
||
<li><a href="http://journals.cambridge.org/repo_A88Sa8AHdt4SoI">What is
|
||
Network Science?</a> - First editorial of the recent <em>Network
|
||
Science</em> journal.</li>
|
||
</ul>
|
||
<h3 id="small-worlds">Small Worlds</h3>
|
||
<blockquote>
|
||
<p>Links focused on (analogues to) <a
|
||
href="https://en.wikipedia.org/wiki/Small-world_experiment">Stanley
|
||
Milgram’s small-world experiment</a>.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a href="http://wwwp.oakland.edu/enp/">The Erdös Number Project</a>
|
||
- Research project on the collaborative ties and network distance
|
||
between mathematicians.</li>
|
||
<li><a
|
||
href="https://medium.com/@duncanjwatts/how-small-is-the-world-really-736fa21808ba#.kyr90lhyo">How
|
||
Small is the World, Really?</a> - Discussion of “<em>x</em> degrees of
|
||
separation” small-world experiments.</li>
|
||
<li><a href="https://oracleofbacon.org/">The Oracle of Bacon</a> - Based
|
||
on an <a
|
||
href="https://en.wikipedia.org/wiki/Six_Degrees_of_Kevin_Bacon">online
|
||
game</a> that resulted in a <a
|
||
href="http://www.sixdegrees.org/">charity</a>.</li>
|
||
<li><a
|
||
href="https://www.cornell.edu/video/six-degrees-of-separation-panel">Panel:
|
||
Six Degrees of Separation</a> - Video of a conference at Cornell
|
||
University, featuring Duncan J. Watts, Steven H. Strogatz, Jon Kleinberg
|
||
and other speakers.</li>
|
||
<li><a
|
||
href="http://badhessian.org/2013/09/patterns-in-the-ivy-the-small-world-of-metal/">Patterns
|
||
in the Ivy: The Small World of Metal</a> - Example of a two-mode network
|
||
analysis based on metal artists and bands.</li>
|
||
<li><a href="http://sixdegreesoffrancisbacon.com/">Six Degrees of
|
||
Francis Bacon</a> - Interactive visualization of a well-documented early
|
||
modern historical network.</li>
|
||
<li><a
|
||
href="https://en.wikipedia.org/wiki/Six_degrees_of_separation">Six
|
||
Degrees of Separation</a> - Wikipedia English entry.</li>
|
||
</ul>
|
||
<h3 id="two-mode-networks">Two-Mode Networks</h3>
|
||
<blockquote>
|
||
<p>Also known as bipartite graphs.</p>
|
||
</blockquote>
|
||
<ul>
|
||
<li><a href="https://shs.hal.science/halshs-00794976">L’analyse des
|
||
graphes bipartis</a>, in French (2013).</li>
|
||
<li><a href="https://doi.org/10.1016/j.socnet.2007.04.006">Basic Notions
|
||
for the Analysis of Large Two-mode Networks</a> (<a
|
||
href="https://www-complexnetworks.lip6.fr/~latapy/Publis/socnet07.pdf">preprint</a>,
|
||
<a href="https://www-complexnetworks.lip6.fr/~latapy/Bip/">related
|
||
code</a>; <em>Social Networks</em>, 2008).</li>
|
||
<li><a
|
||
href="http://patrickdoreian.com/wp-content/uploads/2017/12/large-signed-2mode-networks_UNGA.pdf">Fitting
|
||
Large Signed Two-mode Blockmodels: Problems and Prospects</a>.</li>
|
||
<li><a href="https://doi.org/10.1016/j.socnet.2004.01.002">Generalized
|
||
Blockmodeling of Two-mode Network Data</a> (<a
|
||
href="http://vlado.fmf.uni-lj.si/pub/networks/doc/preprint/TwoMode.pdf">preprint</a>).</li>
|
||
<li><a href="https://doi.org/10.1016/j.socnet.2015.04.001">Generalized
|
||
Two-Mode Cores</a>.</li>
|
||
<li><a
|
||
href="http://patrickdoreian.com/wp-content/uploads/2017/12/partitioning-signed-social-networks.pdf">Partitioning
|
||
Signed Two-Mode Networks</a>.</li>
|
||
<li><a
|
||
href="https://solomonmessing.wordpress.com/2012/09/30/working-with-bipartiteaffiliation-network-data-in-r/">Working
|
||
with Bipartite/Affiliation Network Data in R</a> (2012).</li>
|
||
</ul>
|
||
<hr />
|
||
<h2 id="license">License</h2>
|
||
<p><a href="http://creativecommons.org/publicdomain/zero/1.0/"><img
|
||
src="http://i.creativecommons.org/p/zero/1.0/88x31.png"
|
||
alt="CC0" /></a></p>
|
||
<p>To the extent possible under law, the authors of this list – by
|
||
chronological order: <a href="https://f.briatte.org/">François
|
||
Briatte</a>, <a href="https://www.linkedin.com/in/mcculloh">Ian
|
||
McCulloh</a>, <a href="https://vivo.brown.edu/display/akhann16">Aditya
|
||
Khanna</a>, <a href="https://manliodedomenico.com/">Manlio De
|
||
Domenico</a>, Patrick Kaminski, <a
|
||
href="https://erickaakcire.github.io/">Ericka Menchen-Trevino</a>, <a
|
||
href="https://github.com/taniki">Tam-Kien Duong</a>, <a
|
||
href="https://github.com/jdfoote">Jeremy Foote</a>, <a
|
||
href="http://nysci.org/nysci_people/catherine-cramer/">Catherine
|
||
Cramer</a>, <a href="http://mrvar.fdv.uni-lj.si/">Andrej Mrvar</a>, <a
|
||
href="http://patrickdoreian.com/">Patrick Doreian</a>, <a
|
||
href="http://vladowiki.fmf.uni-lj.si/doku.php?id=vlado">Vladimir
|
||
Batagelj</a>, Eric C. Jones, Alden S. Klovdahl, <a
|
||
href="http://www.jpfairbanks.net/">James Fairbanks</a>, <a
|
||
href="http://www.ucdenver.edu/academics/colleges/SPA/FacultyStaff/Faculty/Pages/DanielleVarda.aspx">Danielle
|
||
Varda</a>, <a href="https://twitter.com/andpitts">Andrew Pitts</a>, <a
|
||
href="https://github.com/riomus">Roman Bartusiak</a>, <a
|
||
href="https://koustuvsinha.com/">Koustuv Sinha</a>, <a
|
||
href="http://mohsenmosleh.com/">Mohsen Mosleh</a>, <a
|
||
href="https://github.com/sandrofsousa">Sandro Sousa</a>, <a
|
||
href="https://github.com/JBPressac">Jean-Baptiste Pressac</a>, <a
|
||
href="https://github.com/patcon">Patrick Connolly</a>, <a
|
||
href="https://hristog.github.io/">Hristo Georgiev</a>, <a
|
||
href="http://github.com/tjiagoM">Tiago Azevedo</a>, <a
|
||
href="https://twitter.com/luismmontilla">Luis Miguel Montilla</a>, <a
|
||
href="https://github.com/keith-turner">Keith Turner</a>, <a
|
||
href="https://github.com/sandravizmad">Sandra Becker</a>, <a
|
||
href="https://github.com/benedekrozemberczki">Benedek Rozemberczki</a>,
|
||
<a href="https://xinghanlu.com/">Xing Han Lu</a>, <a
|
||
href="https://cv.hal.science/vlabatut">Vincent Labatut</a>, <a
|
||
href="https://www.mr.schochastics.net/">David Schoch</a>, <a
|
||
href="https://github.com/j1c">Jaewon Chung</a>, <a
|
||
href="https://github.com/benedekrozemberczki">Benedek Rozemberczki</a>,
|
||
<a href="https://github.com/loftusa">Alex Loftus</a>, <a
|
||
href="https://github.com/arunppsg">Arun</a>, <a
|
||
href="https://cnets.indiana.edu/fil/">Filippo Menczer</a>, <a
|
||
href="https://github.com/m4rcs">Marc Schiller</a>, <a
|
||
href="https://tfardet.srht.site/">Tanguy Fardet</a>, <a
|
||
href="https://bernhardbieri.ch/">Bernhard Bieri</a>, <a
|
||
href="https://github.com/Yquetzal">Rémy Cazabet</a>, <a
|
||
href="https://github.com/JeremyGelb">Jeremy Gelb</a>, <a
|
||
href="https://github.com/mbastian">Mathieu Bastian</a>, <a
|
||
href="https://github.com/mszell">Michael Szell</a>, <a
|
||
href="https://github.com/erivlis">Eran Rivlis</a>, <a
|
||
href="https://github.com/rraadd88">Rohan Dandage</a>, <a
|
||
href="https://github.com/benyamindsmith">Benjamin Smith</a>, <a
|
||
href="https://github.com/bduckles">Beth Duckles</a>, <a
|
||
href="https://github.com/cllei12">Lei Cao</a> and <a
|
||
href="https://www.simondelarue.com/">Simon Delarue</a> - have waived all
|
||
copyright and related or neighboring rights to this work.</p>
|
||
<p>Thanks to <a href="https://github.com/rjackland">Robert J.
|
||
Ackland</a>, <a href="https://cv.hal.science/laurent-beauguitte">Laurent
|
||
Beauguitte</a>, <a href="http://nodescription.net/">Patrick
|
||
Connolly</a>, <a href="https://geobgu.xyz/">Michael Dorman</a>, <a
|
||
href="https://colinfay.me/">Colin Fay</a>, <a
|
||
href="https://www.history.upenn.edu/people/faculty/marc-flandreau">Marc
|
||
Flandreau</a>, <a href="https://eiko-fried.com/">Eiko Fried</a>, <a
|
||
href="https://cmarcum.github.io/">Christopher Steven Marcum</a>, <a
|
||
href="https://www.uva.nl/profiel/n/o/w.denooy/w.denooy.html">Wouter de
|
||
Nooy</a>, <a href="https://kateto.net/">Katya Ognyanova</a>, <a
|
||
href="https://github.com/rahul-38-26-0111-0003">Rahul Padhy</a>, <a
|
||
href="https://camilleroth.github.io/">Camille Roth</a>, <a
|
||
href="https://sociology.berkeley.edu/faculty/claude-s-fischer">Claude S.
|
||
Fischer</a>, <a href="https://www.stat.cmu.edu/~cshalizi/">Cosma
|
||
Shalizi</a>, <a href="https://www.stats.ox.ac.uk/~snijders/">Tom A.B.
|
||
Snijders</a>, <a href="https://profiles.bu.edu/Christopher.Watson">Chris
|
||
Watson</a> and <a href="https://github.com/tawheeler">Tim A.
|
||
Wheeler</a>, who helped locating some of the awesome resources featured
|
||
in this list.</p>
|
||
<p><a
|
||
href="https://github.com/briatte/awesome-network-analysis">networkanalysis.md
|
||
Github</a></p>
|