rhetenor/awesome-awesomeness
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

update lists

Browse Source
This commit is contained in:
Jonas Zeunert
2025-07-18 22:22:32 +02:00
parent 55bed3b4a1
commit 5916c5c074
3078 changed files with 331679 additions and 357255 deletions
Download Patch File Download Diff File Expand all files Collapse all files

247
terminal/networkanalysis
View File

@@ -1,5 +1,5 @@
 Awesome Network Analysis !Awesome (https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg) (https://github.com/sindresorhus/awesome) !DOI 
 (https://zenodo.org/badge/DOI/10.5281/zenodo.7869481.svg) (https://doi.org/10.5281/zenodo.7869481)
 Awesome Network Analysis !Awesome (https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg) (https://github.com/sindresorhus/awesome) !DOI (https://zenodo.org/badge/DOI/10.5281/zenodo.7869481.svg) 
 (https://doi.org/10.5281/zenodo.7869481)
An awesome list (https://github.com/sindresorhus/awesome) of resources to construct, analyze and visualize network data.
@@ -66,8 +66,7 @@
- _A Novitiate in a Period of Change: An Experimental and Case Study of Social Relationships (https://f.briatte.org/temp/sampson1968.pdf)_, by Samuel F. Sampson (unpublished PhD dissertation, 1968).
- _Social Network Analysis (https://uk.sagepub.com/en-gb/eur/social-network-analysis/book249668)_, by John Scott (2017).
- _Social Network Analysis. Methods and Applications (http://www.cambridge.org/ar/academic/subjects/sociology/sociology-general-interest/social-network-analysis-methods-and-applications)_, by Stanley Wasserman and Katherine Faust 
(1994).
- _Social Network Analysis. Methods and Applications (http://www.cambridge.org/ar/academic/subjects/sociology/sociology-general-interest/social-network-analysis-methods-and-applications)_, by Stanley Wasserman and Katherine Faust (1994).
- _The Structure and Dynamics of Networks (http://press.princeton.edu/titles/8114.html)_, edited by Mark E.J. Newman, Albert-László Barabási and Duncan J. Watts - 600 pages of classic network analysis articles (2006).
Dissemination
@@ -83,11 +82,12 @@
General Overviews
- _A First Course in Network Science (https://www.cambridge.org/us/academic/subjects/physics/statistical-physics/first-course-network-science)_, by Filippo Menczer, Santo Fortunato, and Clayton A. Davis - Tutorials, datasets and other
resouces on GitHub (https://github.com/CambridgeUniversityPress/FirstCourseNetworkScience) (2020).
- _L'analyse de réseau en sciences sociales. Petit guide pratique (https://hal.science/hal-04052709)_, by Laurent Beauguitte, in French (2023). Readable online (https://beauguitte.github.io/analyse-de-reseau-en-shs/).
- _The Atlas for the Aspiring Network Scientist (https://www.networkatlas.eu/)_, by Michele Coscia (2021).
- _Encyclopedia of Social Networks (http://sk.sagepub.com/reference/socialnetworks)_, edited by George A. Barnett - Covers all sorts of network-related themes (many of them not formal) as well as social network analysis (2011).
- _Encyclopedia of Social Network Analysis and Mining (https://www.springer.com/us/book/9781461461692)_, edited by Reda Alhajj and Jon Rokne (2014).
- _L'analyse de réseau en sciences sociales. Petit guide pratique (https://hal.science/hal-04052709)_, by Laurent Beauguitte, in French (2023). Readable online (https://beauguitte.github.io/analyse-de-reseau-en-shs/).
- _A First Course in Network Science (https://www.cambridge.org/us/academic/subjects/physics/statistical-physics/first-course-network-science)_, by Filippo Menczer, Santo Fortunato, and Clayton A. Davis - Tutorials, datasets and other resouces 
on GitHub (https://github.com/CambridgeUniversityPress/FirstCourseNetworkScience) (2020).
- _Network Science (http://networksciencebook.com)_, by Albert-László Barabási - Full book online (2016).
- _Network Science (http://www.nap.edu/catalog/11516/network-science)_, by the U.S. National Research Council - Full book online (2005).
- _Network Science: Theory and Practice (http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1118211014.html)_, by Ted G. Lewis (2011).
@@ -99,6 +99,7 @@
- _Sociologie des réseaux sociaux (http://pierremerckle.fr/2011/02/sociologie-des-reseaux-sociaux/)_, by Pierre Mercklé, in French (2011).
- _Social and Economic Networks (https://press.princeton.edu/books/paperback/9780691148205/social-and-economic-networks)_, by Matthew O. Jackson (2008).
- _Social Network Analysis with Applications (https://www.wiley.com/en-gb/Social+Network+Analysis+with+Applications-p-9781118169476)_, by Ian McCulloh, Helen Armstrong and Anthony Johnson (2013).
- _Social Networks. An Introduction (https://olizardo.github.io/networks-textbook/)_, by Omar Lizardo and Isaac Jilbert - free to read online (2023).
- _Social Networks: An Introduction (https://www.routledge.com/products/9780415458030)_, by Jeroen Bruggeman (related material (https://sites.google.com/site/introsocnet/); 2008).
- _Studying Social Networks. A Guide to Empirical Research (http://press.uchicago.edu/ucp/books/book/distributed/S/bo15475096.html)_, by Marina Hennig _et al._ (2013).
- _Understanding Social Networks. Theories, Concepts, and Findings (https://global.oup.com/academic/product/understanding-social-networks-9780195379471)_, by Charles Kadushin (2012).
@@ -120,14 +121,14 @@
- _Bayesian Networks with Examples in R (http://www.crcpress.com/product/isbn/9781482225587)_, by Marco Scutari and Jean-Baptiste Denis (website (http://www.bnlearn.com/book-crc/); 2014).
- _The Book of Trees. Visualizing Branches of Knowledge (https://papress.com/products/the-book-of-trees-visualizing-branches-of-knowledge)_, by Manuel Lima - Hundreds of beautiful tree diagrams, from all periods of history (2014).
- _Exponential Random Graph Models for Social Networks (http://www.cambridge.org/9780521193566)_, edited by Dean Lusher, Johan Koskinen and Garry Robins (2013).
- _Generalized Blockmodeling. Structural Analysis in the Social Sciences (http://www.cambridge.org/de/academic/subjects/sociology/sociology-general-interest/generalized-blockmodeling)_, by Patrick Doreian, Vladimir Batagelj and Anuška
Ferligoj (2004).
- _Generalized Blockmodeling. Structural Analysis in the Social Sciences (http://www.cambridge.org/de/academic/subjects/sociology/sociology-general-interest/generalized-blockmodeling)_, by Patrick Doreian, Vladimir Batagelj and Anuška Ferligoj 
(2004).
- _Handbook of Graph Drawing and Visualization (https://www.crcpress.com/Handbook-of-Graph-Drawing-and-Visualization/Tamassia/9781584884125)_, edited by Roberto Tamassia (chapter proofs (https://cs.brown.edu/~rt/gdhandbook/); 2013).
- _Handbuch Historische Netzwerkforschung. Grundlagen und Anwendungen (http://www.lit-verlag.de/isbn/3-643-11705-2)_, edited by Marten Düring _et al._, in German (2016).
- _An Introduction to Exponential Random Graph Modeling (https://uk.sagepub.com/en-gb/eur/an-introduction-to-exponential-random-graph-modeling/book237737)_, by Jenine K. Harris (2014).
- _Knoten und Kanten. Soziale Netzwerkanalyse in Wirtschafts- und Migrationsforschung (http://www.transcript-verlag.de/978-3-8376-1311-7/knoten-und-kanten)_, edited by Markus Gamper and Linda Reschke, in German (2010).
- _Knoten und Kanten 2.0. Soziale Netzwerkanalyse in Medienforschung und Kulturanthropologie (http://www.transcript-verlag.de/978-3-8376-1927-0/knoten-und-kanten-2.0)_, edited by Markus Gamper, Linda Reschke and Michael Schönhuth, in 
German (2012).
- _Knoten und Kanten 2.0. Soziale Netzwerkanalyse in Medienforschung und Kulturanthropologie (http://www.transcript-verlag.de/978-3-8376-1927-0/knoten-und-kanten-2.0)_, edited by Markus Gamper, Linda Reschke and Michael Schönhuth, in German 
(2012).
- _Knoten und Kanten III. Soziale Netzwerkanalyse in Geschichts- und Politikforschung ()_, edited by Markus Gamper, Linda Reschke and Marten Düring, in German and English (2015).
- _Inferential Network Analysis (https://www.cambridge.org/highereducation/books/inferential-network-analysis/A7797D36A24647AA1F900CE7EF694C7E)_, by Skyler J. Cranmer, Bruce A. Desmarais and Jason Morgan (2020).
- _Multilayer Social Networks (http://multilayer.it.uu.se/book.html)_, by Mark E. Dickison, Matteo Magnani and Luca Rossi (2016).
@@ -138,8 +139,8 @@
- _Network Analysis: Methodological Foundations (https://www.springer.com/fr/book/9783540249795)_, edited by Ulrik Brandes and Thomas Erlebach - Covers network centrality, clustering, blockmodels, spatial networks and more (2005).
- _Political Networks. The Structural Perspective (http://www.cambridge.org/ar/academic/subjects/sociology/political-sociology/political-networks-structural-perspective)_, by David Knoke (1994).
- _Social Network Analysis for Ego-Nets: Social Network Analysis for Actor-Centred Networks (https://uk.sagepub.com/en-gb/eur/social-network-analysis-for-ego-nets/book240391)_, by Nick Crossley _et al._ (2015).
- _Understanding Large Temporal Networks and Spatial Networks 
(https://www.wiley.com/en-gb/Understanding+Large+Temporal+Networks+and+Spatial+Networks%3A+Exploration%2C+Pattern+Searching%2C+Visualization+and+Network+Evolution-p-9780470714522)_, by Vladimir Batagelj _et al._ (2014).
- _Understanding Large Temporal Networks and Spatial Networks (https://www.wiley.com/en-gb/Understanding+Large+Temporal+Networks+and+Spatial+Networks%3A+Exploration%2C+Pattern+Searching%2C+Visualization+and+Network+Evolution-p-9780470714522)_, 
by Vladimir Batagelj _et al._ (2014).
Software-specific
@@ -147,8 +148,8 @@
- _Analyzing Social Networks (https://sites.google.com/site/analyzingsocialnetworks/)_ (using UCINET), by Stephen P. Borgatti, Martin G. Everett and Jeffrey C. Johnson (2013).
- _A User’s Guide to Network Analysis in R (https://www.springer.com/us/book/9783319238821)_, by Douglas A. Luke (2015).
- _Data Science and Complex Networks: Real Case Studies with Python (https://global.oup.com/academic/product/data-science-and-complex-networks-9780199639601)_, by Guido Caldarelli and Alessandro Chessa (2016).
- _Exploratory Social Network Analysis with Pajek (http://www.cambridge.org/us/academic/subjects/sociology/research-methods-sociology-and-criminology/exploratory-social-network-analysis-pajek-2nd-edition)_, by Wouter de Nooy, Andrej 
Mrvar and Vladimir Batagelj (2011; also in Japanese (http://www.tdupress.jp/books/isbn978-4-501-54710-3.html) and in Chinese (http://product.dangdang.com/22927985.html)).
- _Exploratory Social Network Analysis with Pajek (http://www.cambridge.org/us/academic/subjects/sociology/research-methods-sociology-and-criminology/exploratory-social-network-analysis-pajek-2nd-edition)_, by Wouter de Nooy, Andrej Mrvar and 
Vladimir Batagelj (2011; also in Japanese (http://www.tdupress.jp/books/isbn978-4-501-54710-3.html) and in Chinese (http://product.dangdang.com/22927985.html)).
- _Gephi Cookbook (https://www.packtpub.com/big-data-and-business-intelligence/gephi-cookbook)_ (2015).
- _Graph Drawing Software (http://link.springer.com/book/10.1007/978-3-642-18638-7)_ (covering many programs), edited by Michael Jünger and Petra Mutzel (2004).
- _Introduction to Social Network Methods (http://faculty.ucr.edu/~hanneman/nettext/)_ (using mostly UCINET), by Robert A. Hanneman and Mark Riddle - Full book online (2001).
@@ -156,21 +157,20 @@
- _Network Analysis with R/igraph_, by Gabor Csárdi, Thomas Nepusz and Eduardo M. Airoldi (in preparation).
- _Network Analysis with Python/igraph_, by Thomas Nepusz, Gabor Csárdi and Eduardo M. Airoldi (in preparation).
- _Network Graph Analysis and Visualization with Gephi (https://www.packtpub.com/big-data-and-business-intelligence/network-graph-analysis-and-visualization-gephi)_, by Ken Cherven (2013).
- _Social Network Analysis for Startups. Finding Connections on the Social Web (http://shop.oreilly.com/product/0636920020424.do)_ (using Python), by Maksim Tsvetovat and Alexander Kouznetsov (code 
(https://github.com/maksim2042/SNABook); 2011).
- _Social Network Analysis for Startups. Finding Connections on the Social Web (http://shop.oreilly.com/product/0636920020424.do)_ (using Python), by Maksim Tsvetovat and Alexander Kouznetsov (code (https://github.com/maksim2042/SNABook); 
2011).
- _Statistical Analysis of Network Data with R (http://www.springer.com/us/book/9781493909827)_, by Eric D. Kolaczyk and Gabor Csárdi (R package (https://github.com/kolaczyk/sand); 2014).
Topic-specific
- _Communities and Networks: Using Social Network Analysis to Rethink Urban and Community Studies (http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0745654207.html)_, by Katherine Giuffre (2013).
- _Comparing Policy Networks. Labor Politics in the U.S., Germany, and Japan 
(http://www.cambridge.org/ar/academic/subjects/politics-international-relations/comparative-politics/comparing-policy-networks-labor-politics-us-germany-and-japan)_, by David Knoke _et al._ (1996).
- _Comparing Policy Networks. Labor Politics in the U.S., Germany, and Japan (http://www.cambridge.org/ar/academic/subjects/politics-international-relations/comparative-politics/comparing-policy-networks-labor-politics-us-germany-and-japan)_, 
by David Knoke _et al._ (1996).
- _Conducting Personal Network Research: A Practical Guide (https://www.routledge.com/Conducting-Personal-Network-Research-A-Practical-Guide/McCarty-Lubbers-Vacca-Molina/p/book/9781462538386)_, by Christopher McCarty _et al._ (2019).
- _**Egocentric Network Analysis with R** (https://raffaelevacca.github.io/egocentric-r-book/)_ - An online book/tutorial that covers a lot of similar ground.
- _The Connected Past. Challenges to Network Studies in Archaeology and History (https://global.oup.com/academic/product/the-connected-past-9780198748519)_ edited by Tom Brughmans, Anna Collar and Fiona Coward (2016; companion website
- _The Connected Past. Challenges to Network Studies in Archaeology and History (https://global.oup.com/academic/product/the-connected-past-9780198748519)_ edited by Tom Brughmans, Anna Collar and Fiona Coward (2016; companion website 
(http://connectedpast.net/)).
- _The Development of Social Network Analysis: A Study in the Sociology of Science (http://moreno.ss.uci.edu/)_, by Linton C. Freeman, in English and several other languages (2004; follow-up paper, 2011 
(http://moreno.ss.uci.edu/91.pdf)).
- _The Development of Social Network Analysis: A Study in the Sociology of Science (http://moreno.ss.uci.edu/)_, by Linton C. Freeman, in English and several other languages (2004; follow-up paper, 2011 (http://moreno.ss.uci.edu/91.pdf)).
- _Dynamical Networks in Psychology: More Than A Pretty Picture? (https://www.researchgate.net/publication/308874807_Dynamical_networks_in_psychology_More_than_a_pretty_picture)_, by Laura Bringmann (2016; PhD dissertation).
- _Dynamical Processes on Complex Networks (http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780521879507)_, by Alain Barrat, Marc Barthélemy and Alessandro Vespignani (2008).
- _Economic Networks: Theory and Computation (https://networks.quantecon.org/)_, by John Stachurski and Thomas J. Sargent (2022).
@@ -180,19 +180,17 @@
- _Network Analysis Literacy. A Practical Approach to the Analysis of Networks (https://www.springer.com/us/book/9783709107409)_, by Katharina A. Zweig (2016).
- _Networks in Social Policy Problems (http://www.cambridge.org/mx/academic/subjects/physics/statistical-physics/networks-social-policy-problems)_, edited by Balázs Vedres and Marco Scotti (2012).
- _The Oxford Handbook of the Economics of Networks (https://global.oup.com/academic/product/the-oxford-handbook-of-the-economics-of-networks-9780199948277)_, edited by Yann Bramoullé, Andrea Galeotti and Brian Rogers (2016).
- _Policy Debates as Dynamic Networks: German Pension Politics and Privatization Discourse (http://www.campus.de/buecher-campus-verlag/wissenschaft/politikwissenschaft/policy_debates_as_dynamic_networks-10287.html)_, by Philip Leifeld
(2016).
- _Policy Debates as Dynamic Networks: German Pension Politics and Privatization Discourse (http://www.campus.de/buecher-campus-verlag/wissenschaft/politikwissenschaft/policy_debates_as_dynamic_networks-10287.html)_, by Philip Leifeld (2016).
- _Small Worlds: The Dynamics of Networks between Order and Randomness (http://press.princeton.edu/titles/6768.html)_, by Duncan J. Watts (2003).
- _Theories of Communication Networks (https://global.oup.com/academic/product/theories-of-communication-networks-9780195160376)_, by Peter Monge and Nosh Contractor (2003).
- _The Chessboard and the Web. Strategies of Connection in a Networked World (http://yalebooks.yale.edu/book/9780300215649/chessboard-and-web)_, by Anne-Marie Slaughter (2017); applies network science to world politics.
- _Towards Relational Sociology (https://www.routledge.com/products/9780415480147)_, by Nick Crossley (2011).
- _Die Verbundenheit der Dinge. Eine Kulturgeschichte der Netze und Netzwerke The Connectedness of Things. A Cultural History of Nets and Networks  (http://www.kulturverlag-kadmos.de/buch/die-verbundenheit-der-dinge.html)_, by 
Sebastian Gießmann, in German (2014).
- _Verdeckte soziale Netzwerke im Nationalsozialismus. Die Entstehung und Arbeitsweise von Berliner Hilfsnetzwerken für verfolgte Juden Hidden Social Networks in National Socialism: The origins and working methods of Berlin assistance
networks for persecuted Jews  (http://www.degruyter.com/view/product/432196)_, by Marten Düring, in German (2015; related publications (http://martenduering.com/research/covert-networks-during-the-holocaust/) and video presentation in 
English (https://www.youtube.com/watch?v=SlQ7stSU-9w)).
- _Visualisierung komplexer Strukturen. Grundlagen der Darstellung mehrdimensionaler Netzwerke (http://www.campus.de/buecher-campus-verlag/wissenschaft/soziologie/visualisierung_komplexer_strukturen-2467.html)_, by Lothar Krempel, in 
German.
- _Die Verbundenheit der Dinge. Eine Kulturgeschichte der Netze und Netzwerke The Connectedness of Things. A Cultural History of Nets and Networks  (http://www.kulturverlag-kadmos.de/buch/die-verbundenheit-der-dinge.html)_, by Sebastian 
Gießmann, in German (2014).
- _Verdeckte soziale Netzwerke im Nationalsozialismus. Die Entstehung und Arbeitsweise von Berliner Hilfsnetzwerken für verfolgte Juden Hidden Social Networks in National Socialism: The origins and working methods of Berlin assistance networks 
for persecuted Jews  (http://www.degruyter.com/view/product/432196)_, by Marten Düring, in German (2015; related publications (http://martenduering.com/research/covert-networks-during-the-holocaust/) and video presentation in English 
(https://www.youtube.com/watch?v=SlQ7stSU-9w)).
- _Visualisierung komplexer Strukturen. Grundlagen der Darstellung mehrdimensionaler Netzwerke (http://www.campus.de/buecher-campus-verlag/wissenschaft/soziologie/visualisierung_komplexer_strukturen-2467.html)_, by Lothar Krempel, in German.
Conferences
@@ -221,8 +219,8 @@
- Graphs and Networks (https://sites.google.com/a/yale.edu/462-562-graphs-and-networks/), by Dan Spielman (Yale University, 2013).
- Network Analysis and Modeling (Computer Science) (https://aaronclauset.github.io/courses/5352/), by Aaron Clauset - Full lecture slides and readings (University of Colorado, 2022).
- Networks, Complexity and Its Applications (Media Arts and Sciences) (http://ocw.mit.edu/courses/media-arts-and-sciences/mas-961-networks-complexity-and-its-applications-spring-2011/), by Cesar Hidalgo (MIT, 2011).
- Networks, Crowds and Markets (https://www.edx.org/course/networks-crowds-markets-cornellx-info2040x-2), by David Easley, Jon Kleinberg and Eva Tardos (presentation 
(https://www.cornell.edu/video/cornellx-networks-crowds-and-markets); Cornell University via edX, 2016).
- Networks, Crowds and Markets (https://www.edx.org/course/networks-crowds-markets-cornellx-info2040x-2), by David Easley, Jon Kleinberg and Eva Tardos (presentation (https://www.cornell.edu/video/cornellx-networks-crowds-and-markets); Cornell 
University via edX, 2016).
- Networks (Economics) (https://ocw.mit.edu/courses/economics/14-15j-networks-spring-2018/), by Mardavij Roozbehani and Evan Sadler (MIT, 2018).
- **Networks (Economics)** (https://hdl.handle.net/1721.1/119628), by Daron Acemoglu and Asu Ozdaglar (MIT, 2009).
- Network Science (Computer Science) (http://www.cc.gatech.edu/~dovrolis/Courses/NetSci/), by Constantine Dovrolis - Mostly open access readings (Georgia Tech, 2015).
@@ -230,8 +228,7 @@
- Political Networks: Methods and Applications (http://vanity.dss.ucdavis.edu/~maoz/networks/Spring%202011/pol279-11.htm), by Zeev Maoz (University of California in Davis, 2012).
- Social and Economic Networks: Models and Analysis (https://www.coursera.org/course/networksonline), by Matthew O. Jackson (Stanford University via Coursera, 2015).
- Social Network Analysis (https://www.coursera.org/course/sna), by Lada Adamic (University of Michigan via Coursera, not yet run).
- Social Network Analysis (http://www.mjdenny.com/workshops/SN_Theory_I.pdf) and Intermediate Social Network Theory (http://www.mjdenny.com/workshops/Relational_Theory_Workshop.pdf), by Matthew J. Denny - Workshop notes and slides 
(2014–5).
- Social Network Analysis (http://www.mjdenny.com/workshops/SN_Theory_I.pdf) and Intermediate Social Network Theory (http://www.mjdenny.com/workshops/Relational_Theory_Workshop.pdf), by Matthew J. Denny - Workshop notes and slides (2014–5).
- Social Network Analysis with Pajek (http://mrvar.fdv.uni-lj.si/sola/info4/), by Andrej Mrvar (University of Ljubljana, 2016).
- Social Networks (http://dennisfeehan.org/teaching/201701_demog260.html), by Dennis M. Feehan (University of Berkeley, 2017).
- The Structure of Information Networks (https://www.cs.cornell.edu/Courses/cs6850/2008fa/), by Jon Kleinberg - Links to many diverse readings (Cornell University, 2008).
@@ -248,6 +245,7 @@
- Gephi Datasets (https://github.com/gephi/gephi/wiki/Datasets).
- Hetionet: an integrative network of disease (https://github.com/hetio/hetionet) - A complex biological network, available in multiple formats, including JSON and Neo4j (https://neo4j.het.io/browser/).
- igraphdata (https://CRAN.R-project.org/package=igraphdata) - R data-centric package.
- igraphwalshdata (https://cran.r-project.org/package=igraphwalshdata) - Another R data-centric package.
- Interaction Web Database (http://www.ecologia.ib.usp.br/iwdb/) - Ecological species interactions.
- International Currencies 1890-1910 (http://eh.net/database/international-currencies-1890-1910/) - Historical data on the international connections between 45 currencies.
- KONECT - The Koblenz Network Collection (http://konect.uni-koblenz.de/) - Includes, among other things, networks of collaboration in DBpedia and Wikipedia, GitHub (companion handbook (https://arxiv.org/abs/1402.5500)).
@@ -267,7 +265,7 @@
- Philosophers Networks from Randall Collins’s _The Sociology of Philosophies_ (https://www.uva.nl/profiel/n/o/w.denooy/w.denooy.html#tab_1).
- Siena Datasets (http://www.stats.ox.ac.uk/~snijders/siena/siena_datasets.htm).
- SocioPatterns Datasets (http://www.sociopatterns.org/datasets/) - Network data obtained through the SocioPatterns (http://www.sociopatterns.org/) sensing platform.
- Stanford Large Network Dataset Collection (http://snap.stanford.edu/data/index.html).
- Stanford Large Network Dataset Collection (https://snap.stanford.edu/data/index.html).
- State Networks (https://ippsr.msu.edu/public-policy/state-networks) - US state-to-state relational variables, including borders, travel, trade and more.
- tnet Datasets (https://toreopsahl.com/datasets/) - Weighted network data.
- UC Berkeley Social Networks Study (UCNets) (https://www.icpsr.umich.edu/web/ICPSR/studies/36975) - Ego-centric data (personal networks) from a five-year panel study.
@@ -296,8 +294,7 @@
Professional Groups
- AFS RT 26 “Réseaux sociaux” (https://afs-socio.fr/rt/rt26/) - Thematic Network of the French Sociological Association (AFS), in French (old website 
(https://web.archive.org/web/20160421164221/http://www.cmh.pro.ens.fr/reseaux-sociaux/)).
- AFS RT 26 “Réseaux sociaux” (https://afs-socio.fr/rt/rt26/) - Thematic Network of the French Sociological Association (AFS), in French (old website (https://web.archive.org/web/20160421164221/http://www.cmh.pro.ens.fr/reseaux-sociaux/)).
- APSA Political Networks (http://www.polinetworks.org/) - Organized Section of the American Political Science Association (APSA). Twitter: @PolNetworks (https://twitter.com/PolNetworks).
- ECPR Political Networks SG (https://politicalnetsecpr.wordpress.com/) - Standing Group of the European Consortium for Political Research. Twitter: @politicalnets (https://twitter.com/politicalnets).
- GDR ARSHS - GDR Analyse de réseaux en sciences humaines et sociales (https://arshs.hypotheses.org/), in French - Research group based in Paris.
@@ -325,14 +322,13 @@
- Network Interdependence in Social Systems (http://www.skylercranmer.net/niss-lab/) (NISS Lab) - Led by Skyler J. Cranmer at Ohio State University.
- Network Science Center at the U.S. Military Academy (USMA) in West Point (http://www.usma.edu/nsc/) (blog (http://blog.netsciwestpoint.org/)).
- Network Science IGERT at the University of California at Santa Barbara (UCSB) (http://networkscience.igert.ucsb.edu/) - Features an NSF-funded (http://www.igert.org/) graduate programme.
- Networks, Computation, and Social Dynamics Lab (http://www.ncasd.org/) - Headed by Carter T. Butts. Part of the Center for Networks and Relational Analysis (http://relationalanalysis.org/) (CNRA) at the University of California in 
Irvine.
- Networks, Computation, and Social Dynamics Lab (http://www.ncasd.org/) - Headed by Carter T. Butts. Part of the Center for Networks and Relational Analysis (http://relationalanalysis.org/) (CNRA) at the University of California in Irvine.
- Northeastern University Network Science Institute (http://www.networkscienceinstitute.org/) - Features a PhD in Network Science program.
- Northeastern University Center for Complex Network Research (https://www.northeastern.edu/research/centers/center-for-complex-network-research-ccnr/) - Led by Albert-László Barabási.
- Northeastern University MOBS Lab - Laboratory for the Modeling of Biological and Socio-technical Systems (http://www.mobs-lab.org/) - Led by Alessandro Vespignani.
- Pacific Ecoinformatics and Computational Ecology Lab (http://foodwebs.org/) - Non-profit study group of ecological networks (“food webs”).
- Peter J. Mucha’s Research Group at the University of North Carolina at Chapel Hill (http://mucha.web.unc.edu/networks/).
- Social Network Analysis Group at Stanford (http://sna.stanford.edu/).
- Stanford Network Analysis Project (https://snap.stanford.edu/), by Jure Leskovec (https://cs.stanford.edu/~jure/).
- Warren Center for Network & Data Sciences at the University of Pennsylvania (http://warrencenter.upenn.edu/).
- Yale Institute for Network Science (YINS) (http://yins.yale.edu/).
@@ -355,14 +351,14 @@
- ANR-Lab - International Laboratory for Applied Network Research (https://anr.hse.ru/en/) - Russian group based at the National Research University in Moscow.
- **Theory and Methods in Network Analysis (“TMSA”) Summer Schools** (https://anr.hse.ru/en/summer).
- Large Graphs and Networks (http://sites.uclouvain.be/networks/) - Research group at the Catholic University of Louvain (official page (https://uclouvain.be/en/research-institutes/icteam/large-graphs-and-networks.html)).
- MelNet Social Network Research Group, Swinburne University of Technology (http://www.swinburne.edu.au/fbl/research/transformative-innovation/our-research/MelNet-social-network-group/). Twitter: @melnetsna 
(https://twitter.com/melnetsna).
- MelNet Social Network Research Group, Swinburne University of Technology (http://www.swinburne.edu.au/fbl/research/transformative-innovation/our-research/MelNet-social-network-group/). Twitter: @melnetsna (https://twitter.com/melnetsna).
- Mitchell Centre for Social Network Analysis, University of Manchester (http://www.socialsciences.manchester.ac.uk/mitchell-centre/) - Currently studies covert networks 
(http://www.socialsciences.manchester.ac.uk/mitchell-centre/research/covert-networks/). Twitter: @MitchellSNA (https://twitter.com/MitchellSNA).
- Murata Laboratory (http://www.net.c.titech.ac.jp/) - Tokyo-based research group, studying bi-, tri- and k-partite (hyper)networks.
- NetLab (http://www.urbancentre.utoronto.ca/researchgroups/netlab.html) - Research network at the University of Toronto, led by Barry Wellman.
- Network Science Research Centre, Swansea University (http://www.swansea.ac.uk/medicine/enterpriseandinnovation/networkscienceresearchcentre/).
- Network Dynamics (http://networkdynamics.org/) - Research Lab at McGill University, led by Derek Ruths (http://www.derekruths.com/)
- NEtwoRks, Data, and Society (NERDS) (https://nerds.itu.dk/) - Research group at IT University of Copenhagen.
- Netzwerkerei (http://netzwerkerei.org/) - Historical research project on the connections between Jewish intellectuals.
- ORIO - Observatoire des Réseaux Intra- et Inter-Organisationnels (http://blogs.sciences-po.fr/recherche-network-organization-institution-dynamics-multilevel/) - A research program on networks and regulation.
- **‘Réseaux et Régulation’ Conference Cycle** (http://blogs.sciences-po.fr/recherche-network-organization-institution-dynamics-multilevel/sminaire-rseaux-et-rgulation/) - Seminar based at Sciences Po in Paris, France.
@@ -371,8 +367,8 @@
- **RES-HIST Conferences** (https://reshist.hypotheses.org/?s=res-hist).
- SocioPatterns (http://www.sociopatterns.org/) - Interdisciplinary research group that uses wireless sensors to study social network data.
- SoNAR-C - Social Network Analysis Research Center, University of Italian Switzerland (USi) (http://www.sonarcenter.eco.usi.ch/).
- Topographies of Entanglements. Mapping Medieval Networks (https://oeaw.academia.edu/TopographiesofEntanglements) - Research platform based at the Austrian Academy of Sciences that focuses on applying network theory and visualisation
to medieval history.
- Topographies of Entanglements. Mapping Medieval Networks (https://oeaw.academia.edu/TopographiesofEntanglements) - Research platform based at the Austrian Academy of Sciences that focuses on applying network theory and visualisation to 
medieval history.
- UCL Centre for Organisational Network Analysis (CONA) (https://www.ucl.ac.uk/cona).
- Virtual Observatory for the Study of Online Networks (VOSON) (http://vosonlab.net/) - Research and software development project located at the Australian National University.
@@ -385,8 +381,8 @@
- Analyse de réseaux et histoire (https://doi.org/10.3917/rhmc.522.0088), in French (_Revue d’histoire moderne et contemporaine_, 2005).
- Analyser les réseaux du passé en archéologie et en histoire (https://doi.org/10.4000/nda.2300), in French (_Les Nouvelles de l’Archéologie_, 2014).
- Formale Methoden der Netzwerkanalyse in den Geschichtswissenschaften: Warum und Wie? Formal Network Methods in History: Why and How?  (http://www.studienverlag.at/data.cfm?vpath=openaccess/oezg-12012-lemercier&download=yes), in 
German (preprint in English (https://shs.hal.science/halshs-00521527); _Österreichische Zeitschrift für Geschichtswissenschaften_, 2012).
- Formale Methoden der Netzwerkanalyse in den Geschichtswissenschaften: Warum und Wie? Formal Network Methods in History: Why and How?  (http://www.studienverlag.at/data.cfm?vpath=openaccess/oezg-12012-lemercier&download=yes), in German (
preprint in English (https://shs.hal.science/halshs-00521527); _Österreichische Zeitschrift für Geschichtswissenschaften_, 2012).
- From Hermeneutics to Data to Networks: Data Extraction and Network Visualization of Historical Sources (http://programminghistorian.org/lessons/creating-network-diagrams-from-historical-sources) (_Programming Historian_, 2015).
- Graph Theory and Networks in Biology (https://doi.org/10.1049/iet-syb:20060038) (preprint (https://arxiv.org/abs/q-bio/0604006); _IET Systems Biology_, 2007).
- Introduction à la visualisation de données : l’analyse de réseau en histoire (https://www.martingrandjean.ch/introduction-visualisation-de-donnees-analyse-de-reseau-histoire/), in French (_Geschichte und Informatik_, 2015).
@@ -395,11 +391,11 @@
- Networks in Historical Research (http://www.themacroscope.org/?page_id=308) (in _The Historian’s Macroscope_, 2013).
- Networks of Power in Archaeology (https://doi.org/10.1146/annurev-anthro-102313-025901) (_Annual Review of Anthropology_, 2014).
- Netzwerkanalyse in den Geschichtswissenschaften. Historische Netzwerkanalyse als Methode für die Erforschung von historischen Prozessen 
(https://www.researchgate.net/publication/300723171_Netzwerkanalyse_in_den_Geschichtswissenschaften_Historische_Netzwerkanalyse_als_Methode_fur_die_Erforschung_von_historischen_Prozessen), in German (_Prozesse. Formen, Dynamiken, 
Erklärungen (https://www.springer.com/de/book/9783531176604)_, 2015).
(https://www.researchgate.net/publication/300723171_Netzwerkanalyse_in_den_Geschichtswissenschaften_Historische_Netzwerkanalyse_als_Methode_fur_die_Erforschung_von_historischen_Prozessen), in German (_Prozesse. Formen, Dynamiken, Erklärungen 
(https://www.springer.com/de/book/9783531176604)_, 2015).
- The Roots and Shoots of Archaeological Network Analysis: A Citation Analysis and Review of the Archaeological Use of Formal Network Methods 
(https://www.academia.edu/6925120/Brughmans_T._2014_._The_roots_and_shoots_of_archaeological_network_analysis_A_citation_analysis_and_review_of_the_archaeological_use_of_formal_network_methods._Archaeological_Review_from_Cambridge_29_1_
) (_Archaeological Review from Cambridge_, 2014).
(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_) 
(_Archaeological Review from Cambridge_, 2014).
- Thinking Through Networks: A Review of Formal Network Methods in Archaeology (https://doi.org/10.1007/s10816-012-9133-8) (_Journal of Archaeological Method and Theory_, 2013).
Bibliographic, Citation and Semantic Networks
@@ -422,8 +418,8 @@
- Network Biology: Understanding the Cell’s Functional Organization (https://barabasi.com/f/147.pdf) - Accessible introduction to (cellular) network analysis (_Nature Reviews Genetics_, 2004).
- Network Medicine: A Network-based Approach to Human Disease (https://barabasi.com/f/320.pdf) (_Nature Review Genetics_, 2011).
- Social Networks and the Spread of Infectious Diseases: the AIDS Example (https://doi.org/10.1016/0277-9536(85)90269-2) (_Social Networks_, 1985).
- Structure and Dynamics of Molecular Networks: A Novel Paradigm of Drug Discovery. A Comprehensive Review (https://doi.org/10.1016/j.pharmthera.2013.01.016) - Also includes an impressive list of network analysis software 
(_Pharmacology & Therapeutics_, 2013).
- Structure and Dynamics of Molecular Networks: A Novel Paradigm of Drug Discovery. A Comprehensive Review (https://doi.org/10.1016/j.pharmthera.2013.01.016) - Also includes an impressive list of network analysis software (_Pharmacology & 
Therapeutics_, 2013).
Complex and Multilayer Networks
@@ -474,7 +470,7 @@
- Birds of a Feather: Homophily in Social Networks (https://doi.org/10.1146/annurev.soc.27.1.415) (_Annual Review of Sociology_, 2001).
- Mixed-Method Approaches to Social Network Analysis (http://eprints.ncrm.ac.uk/842/) (ESRC NCRM Discussion Paper, 2010).
- Network Analysis and Political Science (https://doi.org/10.1146/annurev.polisci.12.040907.115949) (_Annual Review of Political Science_, 2011).
- Network Analysis for International Relations (https://www.cambridge.org/core/journals/international-organization/article/div-classtitlenetwork-analysis-for-international-relationsdiv/DE2910979C1B5C44C4CC13F336C5DE97) (_International
- Network Analysis for International Relations (https://www.cambridge.org/core/journals/international-organization/article/div-classtitlenetwork-analysis-for-international-relationsdiv/DE2910979C1B5C44C4CC13F336C5DE97) (_International 
Organization_, 2009).
- Network Analysis in the Social Sciences (http://science.sciencemag.org/content/323/5916/892) (_Science_, 2009).
- Networks and Trade (https://doi.org/10.1146/annurev-economics-080217-053506) (_Annual Review of Economics_, 2018).
@@ -482,61 +478,61 @@
- Networks in the Understanding of Economic Behaviors (https://www.aeaweb.org/articles?id=10.1257/jep.28.4.3) (_Journal of Economic Perspectives_, 2014).
- Positions and Roles (http://sk.sagepub.com/reference/the-sage-handbook-of-social-network-analysis/n29.xml) (_The SAGE Handbook of Social Network Analysis (http://www.sagepub.in/books/Book232753/)_, 2011).
- The Social and the Sexual: Networks in Contemporary Demographic Research (http://repository.upenn.edu/psc_working_papers/41/) (PSC Working Paper Series, 2013).
- Social Network Analysis in the Study of Terrorism and Political Violence (http://journals.cambridge.org/article_S1049096510001848) (preprint (http://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=1048&context=pn_wp); _PS: 
Political Science and Politics_, 2011).
- Social Network Analysis in the Study of Terrorism and Political Violence (http://journals.cambridge.org/article_S1049096510001848) (preprint (http://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=1048&context=pn_wp); _PS: Political Science 
and Politics_, 2011).
- Social Networks and Crime: Pitfalls and Promises for Advancing the Field (https://doi.org/10.1146/annurev-criminol-011518-024701) (_Annual Review of Criminology_, 2019).
- Urban Social Networks: Some Methodological Problems and Possibilities (_The Small World_ (https://www.worldcat.org/title/small-world/oclc/925078340&referer=brief_results), 1989).
Selected Papers
▐ A voluntarily short list of applied, epistemological and methodological articles, many of which have become classic readings in network analysis courses. Intended for highly motivated social science students with little to no prior 
▐ exposure to network analysis.
▐ A voluntarily short list of applied, epistemological and methodological articles, many of which have become classic readings in network analysis courses. Intended for highly motivated social science students with little to no prior exposure to 
▐ network analysis.
- Aux sources des grands réseaux d’interactions. Retour sur quelques propriétés déterminantes des réseaux sociaux issus de corpus documentaires (https://www.cairn.info/revue-reseaux1-2008-6-page-21.htm), by Pascal Cristofoli, in 
French - Reviews the current state of relational sociology and network analysis in light of the large-scale and online data (_Réseaux_, 2008).
- Birds of a Feather, Or Friend of a Friend? Using Exponential Random Graph Models to Investigate Adolescent Social Networks (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2831261/), by Steven M. Goodreau, James A. Kitts and Martina 
Morris - Accessible introduction to the logic and application of exponential random graph modeling (_Demography_, 2001).
- Chains of Affection: The Structure of Adolescent Romantic and Sexual Networks (http://www.soc.duke.edu/~jmoody77/chains.pdf), by Peter S. Bearman, James Moody and Katherine Stovel - Classic example of topological network analysis 
applied to a network of affective and sexual ties (_American Journal of Sociology_, 2004).
- Coauthorship and Citation Patterns in the _Physical Review_ (https://doi.org/10.1103/PhysRevE.88.012814), by Travis Martin _et al._ - Highly typical study of scientific publishing productivity and collaboration through temporal 
network analysis (preprint (https://arxiv.org/abs/1304.0473); _Physical Review E_, 2013).
- Aux sources des grands réseaux d’interactions. Retour sur quelques propriétés déterminantes des réseaux sociaux issus de corpus documentaires (https://www.cairn.info/revue-reseaux1-2008-6-page-21.htm), by Pascal Cristofoli, in French - 
Reviews the current state of relational sociology and network analysis in light of the large-scale and online data (_Réseaux_, 2008).
- Birds of a Feather, Or Friend of a Friend? Using Exponential Random Graph Models to Investigate Adolescent Social Networks (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2831261/), by Steven M. Goodreau, James A. Kitts and Martina Morris - 
Accessible introduction to the logic and application of exponential random graph modeling (_Demography_, 2001).
- Chains of Affection: The Structure of Adolescent Romantic and Sexual Networks (http://www.soc.duke.edu/~jmoody77/chains.pdf), by Peter S. Bearman, James Moody and Katherine Stovel - Classic example of topological network analysis applied to a
network of affective and sexual ties (_American Journal of Sociology_, 2004).
- Coauthorship and Citation Patterns in the _Physical Review_ (https://doi.org/10.1103/PhysRevE.88.012814), by Travis Martin _et al._ - Highly typical study of scientific publishing productivity and collaboration through temporal network 
analysis (preprint (https://arxiv.org/abs/1304.0473); _Physical Review E_, 2013).
- The Convergence of Social and Technological Networks (https://www.cs.cornell.edu/home/kleinber/cacm08.pdf), by Jon Kleinberg - Discusses small-world effects and social contagion within the context of the Internet and social media 
(_Communications of the ACM_, 2008).
- Deux traditions d’analyse des reseaux sociaux (https://www.cairn.info/revue-reseaux1-2002-5-page-183.htm), by Michael Eve (English version (https://www.academia.edu/14524365/THE_TWO_TRADITIONS_OF_NETWORK_ANALYSIS); _Réseaux_, 2002).
- Homophily and Contagion Are Generically Confounded in Observational Social Network Studies (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3328971/), by Cosma R. Shalizi and Andrew C. Thomas - Makes a very important point for the 
analysis of network diffusion and influence (_Sociological Methods and Research_, 2011).
- La notion de réseau complexe : du réseau comme abstraction et outil à la masse de données des réseaux sociaux en ligne (https://doi.org/10.4000/communicationorganisation.4093), by Alain Barrat, in French - Accessible introduction to
the study of complex networks (_Communication & Organisation_, 2013).
- Network Analysis, Culture, and the Problem of Agency (https://www.mustafaemirbayer.com/network-analysis-culture-and-the-pr), by Mustafa Emirbayer and Jeff Goodwin (_American Journal of Sociology_, 1994), and Manifesto for a 
Relational Sociology (https://www.mustafaemirbayer.com/copy-3-of-bourdieu), by Mustafa Emirbayer (_American Journal of Sociology_, 1997) - Sociological foundations for a science of social ties.
- Network Theory, Plot Analysis (https://sydney.edu.au/intellectual-history/documents/moretti_network_theory_plot_analysis.pdf), by Franco Moretti - Example applications of (fictional) network analysis in literary studies (_New Left 
Review_, 2011).
- Node Centrality in Weighted Networks: Generalizing Degree and Shortest Paths (https://doi.org/10.1016/j.socnet.2010.03.006), by Tore Opsahl, Filip Agneessens and John Skvoretz - Explores the generalization of network centrality and 
distance measures to (positively) valued graphs (_Social Networks_, 2010; companion website (https://toreopsahl.com/tnet/)).
- Homophily and Contagion Are Generically Confounded in Observational Social Network Studies (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3328971/), by Cosma R. Shalizi and Andrew C. Thomas - Makes a very important point for the analysis of 
network diffusion and influence (_Sociological Methods and Research_, 2011).
- La notion de réseau complexe : du réseau comme abstraction et outil à la masse de données des réseaux sociaux en ligne (https://doi.org/10.4000/communicationorganisation.4093), by Alain Barrat, in French - Accessible introduction to the study
of complex networks (_Communication & Organisation_, 2013).
- Network Analysis, Culture, and the Problem of Agency (https://www.mustafaemirbayer.com/network-analysis-culture-and-the-pr), by Mustafa Emirbayer and Jeff Goodwin (_American Journal of Sociology_, 1994), and Manifesto for a Relational 
Sociology (https://www.mustafaemirbayer.com/copy-3-of-bourdieu), by Mustafa Emirbayer (_American Journal of Sociology_, 1997) - Sociological foundations for a science of social ties.
- Network Theory, Plot Analysis (https://sydney.edu.au/intellectual-history/documents/moretti_network_theory_plot_analysis.pdf), by Franco Moretti - Example applications of (fictional) network analysis in literary studies (_New Left Review_, 
2011).
- Node Centrality in Weighted Networks: Generalizing Degree and Shortest Paths (https://doi.org/10.1016/j.socnet.2010.03.006), by Tore Opsahl, Filip Agneessens and John Skvoretz - Explores the generalization of network centrality and distance 
measures to (positively) valued graphs (_Social Networks_, 2010; companion website (https://toreopsahl.com/tnet/)).
- Scale-Free Networks (https://barabasi.com/f/124.pdf), by Albert-László Barabási and Eric Bonabeau - Early, accessible formulation of the “networks are everywhere” argument (_Scientific American_, 2003).
- Social Networks and Causal Inference (http://link.springer.com/chapter/10.1007/978-94-007-6094-3_17), by Tyler J. VanderWeele and Weihua An - Reviews the different ways in which network analysis can produce meaningful causal 
statements, as well as the inherent limits of network analysis for doing so (_Handbook of Causal Analysis for Social Research (http://link.springer.com/book/10.1007/978-94-007-6094-3)_, 2013).
- The Performativity of Networks (https://kieranhealy.org/files/papers/performativity.pdf), by Kieran Healy - Network analysis meets science studies: social networks, like financial markets, are highly subject to performativity, i.e. 
the possibility that reality might be altered by its theoretical inquiry (_European Journal of Sociology_, 2015).
- Social Networks and Causal Inference (http://link.springer.com/chapter/10.1007/978-94-007-6094-3_17), by Tyler J. VanderWeele and Weihua An - Reviews the different ways in which network analysis can produce meaningful causal statements, as 
well as the inherent limits of network analysis for doing so (_Handbook of Causal Analysis for Social Research (http://link.springer.com/book/10.1007/978-94-007-6094-3)_, 2013).
- The Performativity of Networks (https://kieranhealy.org/files/papers/performativity.pdf), by Kieran Healy - Network analysis meets science studies: social networks, like financial markets, are highly subject to performativity, i.e. the 
possibility that reality might be altered by its theoretical inquiry (_European Journal of Sociology_, 2015).
- Revisiting the Foundations of Network Analysis (http://science.sciencemag.org/content/325/5939/414), by Carter T. Butts - On choosing the right network representation to frame a research problem.
- Robust Action and the Rise of the Medici, 1400-1434 (http://home.uchicago.edu/~jpadgett/papers/published/robust.pdf), by John F. Padgett and Christopher K. Ansell - Classic analysis of power relations in the Renaissance Florentine 
state (_American Journal of Sociology_, 1993).
- The Strength of Weak Ties (https://sociology.stanford.edu/sites/default/files/publications/the_strength_of_weak_ties_and_exch_w-gans.pdf), by Mark Granovetter - Arch-classic example of applying network analysis to a social issue: 
jobseeking (_American Journal of Sociology_, 1973).
- The Ties that Divide: A Network Analysis of the International Monetary System, 1890–1910 (http://www.stats.ox.ac.uk/~snijders/FlandreauJobst2005.pdf) (_The Journal of Economic History_, 2005) and The Empirics of International 
Currencies: Network Externalities, History and Persistence (https://doi.org/10.1111/j.1468-0297.2009.02219.x) (_The Economic Journal_, 2009), both by Marc Flandreau and Clemens Jobst - Network analysis of the foreign exchange system in 
the late 19th century (data (http://eh.net/database/international-currencies-1890-1910/)).
- Topics in Social Network Analysis and Network Science (https://arxiv.org/abs/1404.0067), by A. James O’Malley and Jukka-Pekka Onnela - 50-page introduction to network analysis, with just the right amount of detail on all aspects of 
it (_The Handbook of Health Services Research_, forthcoming 2017).
- Robust Action and the Rise of the Medici, 1400-1434 (http://home.uchicago.edu/~jpadgett/papers/published/robust.pdf), by John F. Padgett and Christopher K. Ansell - Classic analysis of power relations in the Renaissance Florentine state 
(_American Journal of Sociology_, 1993).
- The Strength of Weak Ties (https://sociology.stanford.edu/sites/default/files/publications/the_strength_of_weak_ties_and_exch_w-gans.pdf), by Mark Granovetter - Arch-classic example of applying network analysis to a social issue: jobseeking 
(_American Journal of Sociology_, 1973).
- The Ties that Divide: A Network Analysis of the International Monetary System, 1890–1910 (http://www.stats.ox.ac.uk/~snijders/FlandreauJobst2005.pdf) (_The Journal of Economic History_, 2005) and The Empirics of International Currencies: 
Network Externalities, History and Persistence (https://doi.org/10.1111/j.1468-0297.2009.02219.x) (_The Economic Journal_, 2009), both by Marc Flandreau and Clemens Jobst - Network analysis of the foreign exchange system in the late 19th century 
(data (http://eh.net/database/international-currencies-1890-1910/)).
- Topics in Social Network Analysis and Network Science (https://arxiv.org/abs/1404.0067), by A. James O’Malley and Jukka-Pekka Onnela - 50-page introduction to network analysis, with just the right amount of detail on all aspects of it (_The 
Handbook of Health Services Research_, forthcoming 2017).
Software
▐ For a hint of why this section of the list might be useful to some, see Mark Round’s Map of Data Formats and Software Tools (http://mdround.blogs.com/usingnetworks/2009/07/sna-tools-and-formats-diagram-updated.html) (2009). 
▐ Several links in this section come from the NetWiki Shared Code (http://netwiki.amath.unc.edu/SharedCode/SharedCode) page, from the Cambridge Networks Network List of Resources for Complex Network Analysis 
▐ (http://www.cnn.group.cam.ac.uk/Resources), and from the Software for Social Network Analysis (http://www.gmw.rug.nl/~huisman/sna/software.html) page by Mark Huisman and Marijtje A.J. van Duijn. For a recent academic review on the 
▐ subject, see the Social Network Algorithms and Software (https://doi.org/10.1016/B978-0-08-097086-8.43121-1) entry of the _International Encyclopedia of Social and Behavioral Sciences_, 2nd edition (2015). 
▐ See also the Social Network Analysis Project Survey (https://docs.google.com/spreadsheets/d/1Xo-ehJatzmxMek6gPG0h-d7yRSuiO6_flViTQNMAku0/edit#gid=0) (blog post (http://pudo.org/blog/2013/12/21/sna-survey.html)), an earlier attempt to 
▐ chart social network analysis tools that links to many commercial platforms not included in this list, such as Detective.io (http://www.detective.io/). The Wikipedia English entry on Social Network Analysis Software 
▐ (http://www.cnn.group.cam.ac.uk/Resources), and from the Software for Social Network Analysis (http://www.gmw.rug.nl/~huisman/sna/software.html) page by Mark Huisman and Marijtje A.J. van Duijn. For a recent academic review on the subject, see 
▐ the Social Network Algorithms and Software (https://doi.org/10.1016/B978-0-08-097086-8.43121-1) entry of the _International Encyclopedia of Social and Behavioral Sciences_, 2nd edition (2015). 
▐ See also the Social Network Analysis Project Survey (https://docs.google.com/spreadsheets/d/1Xo-ehJatzmxMek6gPG0h-d7yRSuiO6_flViTQNMAku0/edit#gid=0) (blog post (http://pudo.org/blog/2013/12/21/sna-survey.html)), an earlier attempt to chart 
▐ social network analysis tools that links to many commercial platforms not included in this list, such as Detective.io (http://www.detective.io/). The Wikipedia English entry on Social Network Analysis Software 
▐ (https://en.wikipedia.org/wiki/Social_network_analysis_software) also links to many commercial that are often very expensive, outdated, and far from being awesome by any reasonable standard. 
▐ Software-centric tutorials are listed below their program of choice: other tutorials are listed in the next section (#tutorials).
@@ -582,13 +578,14 @@
- Palladio (http://hdlab.stanford.edu/palladio/) - Web-based spatial network visualization tool by the Humanities + Design research lab (http://hdlab.stanford.edu/) at Stanford University.
- PARTNER - Program to Analyze, Record, and Track Networks to Enhance Relationships (https://visiblenetworklabs.com/partner-cprm/) - Excel-based tool for building networks from surveys.
- PIGALE - Public Implementation of a Graph Algorithm Library and Editor (https://pigale.sourceforge.net/) - Windows program and C++ library to analyze planar graphs.
- PNet (http://www.swinburne.edu.au/fbl/research/transformative-innovation/our-research/MelNet-social-network-group/PNet-software/index.html) - Simulation and estimation of (one-mode and multilevel) exponential random graph models 
(ERGMs), written in Java for Windows.
- PNet (http://www.swinburne.edu.au/fbl/research/transformative-innovation/our-research/MelNet-social-network-group/PNet-software/index.html) - Simulation and estimation of (one-mode and multilevel) exponential random graph models (ERGMs), 
written in Java for Windows.
- Polinode (https://www.polinode.com/) - Web-based platform to both analyze network data as well as collect network data via relationship-based surveys.
- PUCK - Program for the Use and Computation of Kinship data (http://www.kintip.net/) - Cross-platform Java program for genealogical network analysis.
- qgis-edge-bundling (https://github.com/ait-energy/qgis-edge-bundling) - Implementation of force-directed edge bundling for the QGIS Processing toolbox.
- Radatools (https://deim.urv.cat/~sergio.gomez/radatools.php) - Set of tools intended for the analysis of complex networks, built on top of Radalib (http://deim.urv.cat/~sergio.gomez/radalib.php), a library written in Ada.
- Retina (https://ouestware.gitlab.io/retina) - Web application to share GEXF and GraphML network visualizations.
- Scikit-network (https://github.com/sknetwork-team/scikit-network) - Open-source library for machine learning on graphs.
- SageMath (https://www.sagemath.org/) - Free open-source mathematics software with extensive graph capabilities (http://doc.sagemath.org/html/en/reference/graphs/index.html).
- Segrada (https://www.segrada.org/) - Cross-platform tool to build and visualize semantic graph databases.
- Siena (https://www.stats.ox.ac.uk/~snijders/siena/) - Simulation Investigation for Empirical Network Analysis. Formerly a Windows program, now developed as the RSiena R package.
@@ -598,13 +595,13 @@
- SparklingGraph (https://sparkling-graph.github.io/) - Cross-platform tool to perform large-scale, distributed network computations with Apache Spark’s GraphX module; written in Java and Scala.
- SPaTo Visual Explorer (http://www.spato.net/) - Cross-platform program for the visualization and exploration of complex networks.
- StOCNET (http://www.gmw.rug.nl/~stocnet/StOCNET.htm) - Several Windows programs developed by the same team as Siena.
- Tulip (http://tulip.labri.fr/) - Cross-platform network analysis and visualization framework built on top of a C++ library, with plugins dedicated to specific biological and physical networks. Also available through its Python 
package (http://tulip.labri.fr/Documentation/current/tulip-python/html/index.html).
- Tulip (http://tulip.labri.fr/) - Cross-platform network analysis and visualization framework built on top of a C++ library, with plugins dedicated to specific biological and physical networks. Also available through its Python package 
(http://tulip.labri.fr/Documentation/current/tulip-python/html/index.html).
- UCINET (https://sites.google.com/site/ucinetsoftware/) - Windows commercial software package for the analysis of social network data.
- Uberlink (http://www.uberlink.com/) - Software suite for online (hyperlink) network analysis, by the VOSON (http://vosonlab.net/) research project.
- **VOSON System** (http://www.uberlink.com/software#voson) - Web-based software for the collection and analysis of online network data. 
- **VOSON Data Provider for NodeXL** (http://www.uberlink.com/software#voson-nodexl) (**quick tutorial** (https://blogs.k-state.edu/it-news/2013/04/09/the-nodexl-series-using-voson-for-hyperlink-network-analysis-part-9/); to be discon 
tinued in 2016). 
- **VOSON Data Provider for NodeXL** (http://www.uberlink.com/software#voson-nodexl) (**quick tutorial** (https://blogs.k-state.edu/it-news/2013/04/09/the-nodexl-series-using-voson-for-hyperlink-network-analysis-part-9/); to be discontinued in  
2016). 
- **vosonR** (http://vosonlab.net/tools) - R client for the VOSON software (in development). 
- UNISoN (http://unison.sleonard.co.uk/) - Cross-platform program to download and visualize Usenet data. Developed for a Masters degree (https://github.com/leonarduk/unison/wiki/MSc-Report-Abstract).
- VennMaker: An Actor-Centered Interactive Network Mapping Tool (http://www.vennmaker.com/?lang=en) - Cross-platform Java program for ego network analysis.
@@ -640,6 +637,7 @@
- networks.tb (https://networks-tb.sourceforge.net/) - C program designed for analyzing socio-semantic networks. Runs on Linux and Mac OS X.
- OGDF - Open Graph Drawing Framework (https://ogdf.uos.de/) - Self-contained C++ class library for diagram, network and tree layouts.
- OpenOrd: Large-scale Graph Layout (formerly DrL) (http://www.cs.sandia.gov/~smartin/software.html) - C++ algorithm, also available as a Gephi plugin (https://gephi.org/plugins/#/plugin/openord-layout).
- RAPIDS cuGraph (https://github.com/rapidsai/cugraph) - Python packages and C/C++/CUDA libraries focused on GPU-accelerated graph analytics.
- Stanford Network Analysis Project (http://snap.stanford.edu/) - C++ general purpose network analysis and graph mining library. Available as a Python library and in Microsoft Excel via NodeXL.
- Walktrap (https://www-complexnetworks.lip6.fr/~latapy/PP/walktrap.html) - C++ program that implements the WalkTrap community detection algorithm (https://arxiv.org/abs/physics/0512106).
@@ -716,6 +714,7 @@
- cdlib (https://github.com/GiulioRossetti/cdlib) - Python community detection library, with 60+ methods and evaluation/visualization features.
- dash-cytoscape (https://github.com/plotly/dash-cytoscape) - Interactive network visualization library in Python, powered by Cytoscape.js and Dash
- graph-tool (http://graph-tool.skewed.de/) - Python module for network manipulation and analysis, written mostly in C++ for speed.
- Graphinate (https://erivlis.github.io/graphinate/) - Python package aimed at generating graphs from data sources, built on top of networkx.
- graphviz (https://pypi.python.org/pypi/graphviz) - Python renderer for the DOT graph drawing language.
- graspologic (https://github.com/microsoft/graspologic) - Python package for statistical algorithms, models, and visualization for single and multiple networks. 
- **Tutorials on algorithms and models** (https://graspologic.readthedocs.io/en/latest/).
@@ -727,13 +726,17 @@
- networkx (https://networkx.org/) - Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
- **Implementing an ERGM from Scratch in Python** (https://gist.github.com/dmasad/8509304), using networkx and numpy (2014).
- **nxviz** (https://github.com/ericmjl/nxviz/) - Visualization package for NetworkX. 
- nngt (https://nngt.readthedocs.io) - Library-agnostic graph generation and analysis that wraps around networkx, igraph and graph-tool). Includes normalized graph measures, advanced visualizations, (geo)spatial tools, and interfaces 
for neuroscience simulators.
- nngt (https://nngt.readthedocs.io) - Library-agnostic graph generation and analysis that wraps around networkx, igraph and graph-tool). Includes normalized graph measures, advanced visualizations, (geo)spatial tools, and interfaces for 
neuroscience simulators.
- npartite (https://github.com/ike002jp/npartite) - Python algorithms for community detection in n-partite networks.
- parag (https://github.com/rraadd88/parag) - Interactive visualization of higher-order graphs in Python.
- pathpy (https://www.pathpy.net/) - Analysis of time series data on networks using higher-order and multi-order graphical models.
- PyGraphistry (https://github.com/graphistry/pygraphistry) - Python library to extract, transform, and visually explore big graphs.
- python-igraph (http://igraph.org/python/) - Python version of the igraph network analysis package.
- python-louvain (https://perso.crans.org/aynaud/communities/) - A solid implementation of Louvain community detection algorithm.
- Raphtory (https://www.raphtory.com/) - A platform for building and analysing temporal networks.
- RAPIDS cuGraph (https://github.com/rapidsai/cugraph) - Python packages and C/C++/CUDA libraries focused on GPU-accelerated graph analytics.
- rustworkx (https://github.com/Qiskit/rustworkx) - A high performance Python graph library implemented in Rust.
- scipy.sparse.csgraph (https://docs.scipy.org/doc/scipy/reference/sparse.csgraph.html#module-scipy.sparse.csgraph) - Fast graph algorithms based on sparse matrix representations.
- Snap.py (http://snap.stanford.edu/snappy/index.html) - A Python interface for SNAP (a general purpose, high performance system for analysis and manipulation of large networks).
- SnapVX (https://github.com/snap-stanford/snapvx) - A convex optimization solver for problems defined on a graph.
@@ -758,8 +761,8 @@
- blockmodeling (https://CRAN.R-project.org/package=blockmodeling) - Implementats generalized blockmodeling for valued networks.
- bnlearn (https://CRAN.R-project.org/package=bnlearn) - Tools for Bayesian network learning and inference (http://www.bnlearn.com/) (related Shiny app (https://paulgovan.github.io/RiskNetwork)).
- brainGraph (https://CRAN.R-project.org/package=brainGraph) - Tools for performing graph theory analysis of brain MRI data.
- btergm (https://CRAN.R-project.org/package=btergm) - Tools to fit temporal ERGMs by bootstrapped pseudolikelihood. Also provides MCMC maximum likelihood estimation, goodness of fit for ERGMs, TERGMs, and stochastic actor-oriented 
models (SAOMs), and tools for the micro-level interpretation of ERGMs and TERGMs.
- btergm (https://CRAN.R-project.org/package=btergm) - Tools to fit temporal ERGMs by bootstrapped pseudolikelihood. Also provides MCMC maximum likelihood estimation, goodness of fit for ERGMs, TERGMs, and stochastic actor-oriented models 
(SAOMs), and tools for the micro-level interpretation of ERGMs and TERGMs.
- CCAS (https://github.com/matthewjdenny/CCAS) - Statistical model for communication networks.
- concoR (https://github.com/aslez/concoR) - Implementation of the CONCOR network blockmodeling algorithm (blog post (http://badhessian.org/2015/05/concor-in-r/)).
- ContentStructure (https://github.com/matthewjdenny/ContentStructure) - Implements an extension to the Topic-Partitioned Multinetwork Embeddings (TPME) model (http://dirichlet.net/pdf/krafft12topic-partitioned.pdf).
@@ -785,6 +788,7 @@
- hierformR (https://CRAN.R-project.org/package=hierformR) – Determine paths and states that social networks develop over time to form social hierarchies.
- igraph (http://igraph.org/r/) - A collection of network analysis tools.
- **Network Analysis and Visualization with R and igraph** (http://kateto.net/networks-r-igraph) (2016).
- ig.degree.betweenness (https://github.com/benyamindsmith/ig.degree.betweenness/) - an igraph implementation of the Smith-Pittman (https://arxiv.org/abs/2411.01394) community detection algorithm (2024).
- influenceR (https://CRAN.R-project.org/package=influenceR) - Compute various node centrality network measures by Burt, Borgatti and others.
- keyplayer (https://CRAN.R-project.org/package=keyplayer) - Implements several network centrality measures.
- latentnet (https://CRAN.R-project.org/package=latentnet) - Latent position and cluster models for network objects.
@@ -866,8 +870,7 @@
- GraphML (http://graphml.graphdrawing.org/) - Comprehensive and easy-to-use file format for graphs (handbook chapter (https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/BrEiLe10.pdf)).
- JGraphT (https://jgrapht.org/) - Java graph library for graph data structures and algorithms (example algorithms (https://github.com/agouge/Java-Network-Analyzer)).
- JUNG - Java Universal Network/Graph Framework (https://jung.sourceforge.net/) - Extensible library to represent network objects.
- PGF/TikZ (http://www.ctan.org/tex-archive/graphics/pgf/) - Tandem (https://en.wikipedia.org/wiki/PGF/TikZ) of vector graphics languages that can be used to draw graphs in the LaTeX (https://latex-project.org/) typesetting 
environment.
- PGF/TikZ (http://www.ctan.org/tex-archive/graphics/pgf/) - Tandem (https://en.wikipedia.org/wiki/PGF/TikZ) of vector graphics languages that can be used to draw graphs in the LaTeX (https://latex-project.org/) typesetting environment.
- **Awesome LaTeX: TiKZ** (https://github.com/egeerardyn/awesome-LaTeX#tikz). 
- **How to Draw Graphs in LaTeX?** (https://tex.stackexchange.com/questions/57152/how-to-draw-graphs-in-latex) 
- **TikZ Graph Examples** (http://www.texample.net/tikz/examples/tag/graphs/). 
@@ -880,11 +883,13 @@
▐ Tutorials that are not focused on a single specific software package or program.
- A tutorial for network centrality in R (https://github.com/schochastics/centrality) (2023).
- Basic and Advanced Network Visualization with Gephi and R (http://kateto.net/sunbelt2016) (2016).
- Basic Network Analysis in R using igraph and related packages (https://mr.schochastics.net/material/netAnaR/) (2022).
- Interactive and Dynamic Network Visualization in R (http://curleylab.psych.columbia.edu/netviz/) and JavaScript libraries (2016).
- Nodegoat and Palladio: Introductory Workshop (https://www.academia.edu/11450425/Nodegoat_and_Palladio_Introductory_Workshop_by_Emmanuelle_Chaze) - Aimed at humanists (2015).
- Static and Dynamic Network Visualization with R (http://kateto.net/network-visualization) - Covers the igraph, network, ggraph, network, networkD3, ndtv, threejs and visNetwork packages (2019).
- Tidy Network Analysis in R using the tidygraph package (https://mr.schochastics.net/material/tidynetAnaR/) (2022).
Varia
@@ -897,8 +902,8 @@
- Cheat Sheet: Social Network Analysis for Humanists (https://cvcedhlab.hypotheses.org/106) - Basic notions to remember when assembling and manipulating network data.
- Computer Technologies for the Historical Research of Intellectual Networks (https://www.youtube.com/playlist?list=PLz79Il7EOvUJxdQ9r2IefFtr--BNkfOa7) - Series of videos by historians, featuring Marten Düring and Scott Weingart.
- Convert Between Graph Formats (http://awesome.cs.jhu.edu/graph-services/convert/) - Online service to convert from/to many different common graph formats.
- David Knoke on Network Analysis (https://thesocietypages.org/methods/2015/01/30/david-knoke-on-network-analysis/) - 20-minute interview that discusses the uses and benefits of network analysis, drawing upon Knoke’s research on 
terrorist networks.
- David Knoke on Network Analysis (https://thesocietypages.org/methods/2015/01/30/david-knoke-on-network-analysis/) - 20-minute interview that discusses the uses and benefits of network analysis, drawing upon Knoke’s research on terrorist 
networks.
- Glossary of Terms for Statistical Network Models (https://statnet.org/trac/raw-attachment/wiki/Resources/glossary.pdf).
- Linton C. Freeman’s Social Network Research Publications (http://moreno.ss.uci.edu/pubs.html), spanning from 1955 to today.
- Mapping the Republic of Letters (http://republicofletters.stanford.edu/) - Research project on early-modern scholarship (underlying software (http://www.densitydesign.org/research/knot/)).
@@ -924,8 +929,8 @@
- Social Network Analysis in DBpedia (http://othes.univie.ac.at/12285/1/2010-10-14_0703857.pdf) - Highly didactic Master’s dissertation, showing how to use SPARQL and Pajek.
- SNA-DE Mailing-List (https://dlist.server.uni-frankfurt.de/mailman/listinfo/sna-de), in German.
- SPARQL for R Tutorial - Hollywood Social Network Analysis (http://semanticweb.cs.vu.nl/R/sparql_hollywood/sparql_hollywood.html) - Also uses Gephi.
- A Sociology Citation Network (http://nealcaren.web.unc.edu/a-sociology-citation-network/) and A Co-citation Network for Philosophy (https://kieranhealy.org/blog/archives/2013/06/18/a-co-citation-network-for-philosophy/) - Examples 
of scientific co-citation networks.
- A Sociology Citation Network (http://nealcaren.web.unc.edu/a-sociology-citation-network/) and A Co-citation Network for Philosophy (https://kieranhealy.org/blog/archives/2013/06/18/a-co-citation-network-for-philosophy/) - Examples of 
scientific co-citation networks.
- Using Metadata to Find Paul Revere (https://kieranhealy.org/blog/archives/2013/06/09/using-metadata-to-find-paul-revere/) and The Other Ride of Paul Revere: The Brokerage Role in the Making of the American Revolution 
(http://www.sscnet.ucla.edu/polisci/faculty/chwe/ps269/han.pdf) - Network analysis applied to American revolutionaries.
- Visual Complexity. An Exploration on Mapping Complex Networks (http://www.visualcomplexity.com/vc/) - Tons of beautiful network and tree visualizations (book (http://www.visualcomplexity.com/vc/book/), also in Chinese and French).
@@ -994,9 +999,8 @@
- Lessons on Exponential Random Graph Modeling from _Grey’s Anatomy_ hook-ups (http://badhessian.org/2012/09/lessons-on-exponential-random-graph-modeling-from-greys-anatomy-hook-ups/) (using R).
- Network Analysis of Shakespeare’s _Macbeth_ (https://mboudour.github.io/2015/10/28/Shakespeare's-Macbeth-Network.html) (using Python).
- The Network and Trajectories of Transitions among Sentential Co-Occurrences of Characters of Arthur Conan Doyle’s _A Study in Scarlet_ 
(https://mboudour.github.io/2016/04/17/Arthur-Conan-Doyle's-A-Study-in-Scarlet-Network-&-Trajectories.html) (using Python; code 
(https://github.com/mboudour/WordNets/blob/master/ArthurConanDoyle_AStudyInScarlet_Network%26Trajectories.ipynb)).
- The Network and Trajectories of Transitions among Sentential Co-Occurrences of Characters of Arthur Conan Doyle’s _A Study in Scarlet_ (https://mboudour.github.io/2016/04/17/Arthur-Conan-Doyle's-A-Study-in-Scarlet-Network-&-Trajectories.html)
(using Python; code (https://github.com/mboudour/WordNets/blob/master/ArthurConanDoyle_AStudyInScarlet_Network%26Trajectories.ipynb)).
- Network Visualization: Mapping Shakespeare’s Tragedies (https://www.martingrandjean.ch/network-visualization-shakespeare/).
- Social Network Analysis of _Alice in Wonderland_ (https://aclanthology.org/W12-2513/).
- _Star Wars_ Social Networks: The Force Awakens (http://evelinag.com/blog/2016/01-25-social-network-force-awakens/index.html) - Also an example of a social network analysis written in F#.
@@ -1012,9 +1016,9 @@
- **Taming Complexity** (https://barabasi.com/f/182.pdf). 
- **The Network Takeover** (https://barabasi.com/f/362.pdf).
- The Invasion of the Physicists (https://doi.org/10.1016/j.socnet.2004.06.002) - How “network _science_” came up.
- Isolated Social Networkers (https://crookedtimber.org/2005/05/19/isolated-social-networkers/), Networks and Netwars (http://bactra.org/weblog/347.html) and The Inter-Disciplinary Politics of Interdisciplinary Research or, “Hey, That
Was My Idea First.” (https://www.cs.unm.edu/~aaron/blog/archives/2005/05/the_interdiscip.htm) - Series of blog posts that predate the advent of “network science” as a buzzword, but that touch upon the same issues as those now being 
discussed under that heading.
- Isolated Social Networkers (https://crookedtimber.org/2005/05/19/isolated-social-networkers/), Networks and Netwars (http://bactra.org/weblog/347.html) and The Inter-Disciplinary Politics of Interdisciplinary Research or, “Hey, That Was My 
Idea First.” (https://www.cs.unm.edu/~aaron/blog/archives/2005/05/the_interdiscip.htm) - Series of blog posts that predate the advent of “network science” as a buzzword, but that touch upon the same issues as those now being discussed under that 
heading.
- The ‘New’ Science of Networks (https://www.jstor.org/stable/29737693) - Review of network science books published in 2002-2003.
- Predicting Highly Cited Papers (https://arxiv.org/abs/1310.8220) - Prediction of the next highly cited papers in network science.
- Social Network and Network Science Co-Citations Across Disciplines in 1996-2013 (https://github.com/raffaelevacca/EUSN-co-citation-networks).
@@ -1094,8 +1098,15 @@
Tanguy Fardet (https://tfardet.srht.site/), 
Bernhard Bieri (https://bernhardbieri.ch/), 
Rémy Cazabet (https://github.com/Yquetzal), 
Jeremy Gelb (https://github.com/JeremyGelb) and 
Mathieu Bastian (https://github.com/mbastian) - 
Jeremy Gelb (https://github.com/JeremyGelb), 
Mathieu Bastian (https://github.com/mbastian), 
Michael Szell (https://github.com/mszell),
Eran Rivlis (https://github.com/erivlis),
Rohan Dandage (https://github.com/rraadd88), 
Benjamin Smith (https://github.com/benyamindsmith), 
Beth Duckles (https://github.com/bduckles), 
Lei Cao (https://github.com/cllei12) and 
Simon Delarue (https://www.simondelarue.com/) - 
have waived all copyright and related or neighboring rights to this work.
Thanks to Robert J. Ackland (https://github.com/rjackland), 
@@ -1114,3 +1125,5 @@
Cosma Shalizi (https://www.stat.cmu.edu/~cshalizi/), 
Tom A.B. Snijders (https://www.stats.ox.ac.uk/~snijders/), 
Chris Watson (https://profiles.bu.edu/Christopher.Watson) and Tim A. Wheeler (https://github.com/tawheeler), who helped locating some of the awesome resources featured in this list.
networkanalysis Github: https://github.com/briatte/awesome-network-analysis