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- [Networks (Economics)](https://ocw.mit.edu/courses/economics/14-15j-networks-spring-2018/), by Mardavij Roozbehani and Evan Sadler (MIT, 2018).
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- [Networks (Economics)](https://hdl.handle.net/1721.1/119628), by Daron Acemoglu and Asu Ozdaglar (MIT, 2009).
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- [Network Science (Computer Science)](http://www.cc.gatech.edu/~dovrolis/Courses/NetSci/), by Constantine Dovrolis - Mostly open access readings (Georgia Tech, 2015).
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- [Network Science (Physics)](https://www.barabasilab.com/course), by Albert-László Barabási, Sean Cornelius and Roberta Sinatra (Northeastern University, 2015).
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<!-- - [Network Science (Physics)](https://www.barabasilab.com/course), by Albert-László Barabási, Sean Cornelius and Roberta Sinatra (Northeastern University, 2015). -->
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- [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).
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- [Social and Economic Networks: Models and Analysis](https://www.coursera.org/course/networksonline), by Matthew O. Jackson (Stanford University via Coursera, 2015).
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- [Social Network Analysis](https://www.coursera.org/course/sna), by Lada Adamic (University of Michigan via Coursera, not yet run).
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@ -227,14 +227,14 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
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- [Interaction Web Database](http://www.ecologia.ib.usp.br/iwdb/) - Ecological species interactions.
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- [International Currencies 1890-1910](http://eh.net/database/international-currencies-1890-1910/) - Historical data on the international connections between 45 currencies.
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- [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)).
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- [James H. Fowler’s Cosponsorship Network Data Page](http://jhfowler.ucsd.edu/cosponsorship.htm).
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<!-- - [James H. Fowler’s Cosponsorship Network Data Page](http://jhfowler.ucsd.edu/cosponsorship.htm). -->
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- [Linton Freeman’s Network Data](http://moreno.ss.uci.edu/data.html) - Over 300 datasets of all sorts, in UCINET format.
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- [Mangal](http://mangal.io/) - Online platform to analyze, archive and share ecological network data ([preprint](https://doi.org/10.1101/002634), [Python package](https://github.com/mangal-wg/pymangal), [R package](https://github.com/mangal-wg/rmangal)).
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- [Manlio De Domenico’s Complex Multilayer Networks](https://manliodedomenico.com/data.php).
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- [Mark E.J. Newman’s Network Data](http://www-personal.umich.edu/~mejn/netdata/) ([example visualizations](http://www-personal.umich.edu/~mejn/networks/)).
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- [Network Repository](http://networkrepository.com/) - Fully searchable database containing hundreds of real-world networks.
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- [Network Science Book - Network Datasets](http://networksciencebook.com/translations/en/resources/data.html) - Network data sets from Albert-László Barabási’s _Network Science_ book. Includes data on IMDB actors, arXiv scientific collaboration, network of routers, the US power grid, protein-protein interactions, cell phone users, citation networks, metabolic reactions, e-mail networks, and nd.edu Web pages.
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- [Nexus](http://nexus.igraph.org/) - Repository of network datasets in GraphML and igraph formats.
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<!-- - [Nexus](http://nexus.igraph.org/) - Repository of network datasets in GraphML and igraph formats. -->
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- [Norwegian Interlocking Directorate, 2002-2011](http://www.boardsandgender.com/data.php) - Two-mode and one-mode data on gender representation in Norwegian firms.
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- [Movie galaxies](http://moviegalaxies.com/) - A databse of movie characters interaction graphs.
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- [Pajek Datasets](http://vlado.fmf.uni-lj.si/pub/networks/data/).
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## Professional Groups
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- [AFS RT 26 “Réseaux sociaux”](http://www.test-afs-socio.fr/drupal/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/)).
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- [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/)).
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- [APSA Political Networks](http://www.polinetworks.org/) - Organized Section of the American Political Science Association (APSA). Twitter: [@PolNetworks](https://twitter.com/PolNetworks).
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- [ECPR Political Networks SG](https://politicalnetsecpr.wordpress.com/) - Standing Group of the European Consortium for Political Research. Twitter: [@politicalnets](https://twitter.com/politicalnets).
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- [GDR ARSHS - GDR Analyse de réseaux en sciences humaines et sociales](http://arshs.hypotheses.org/), in French - Research group based in Paris.
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- [Groupe FMR - Flux, Matrices, Réseaux](http://groupefmr.hypotheses.org/), in French. Twitter: [@BaugLaurent](https://twitter.com/BaugLaurent).
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- [GDR ARSHS - GDR Analyse de réseaux en sciences humaines et sociales](https://arshs.hypotheses.org/), in French - Research group based in Paris.
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- [Groupe FMR - Flux, Matrices, Réseaux](https://groupefmr.hypotheses.org/), in French. Twitter: [@BaugLaurent](https://twitter.com/BaugLaurent).
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- [INSNA - International Network for Social Network Analysis](https://www.insna.org/) ([SOCNET mailing-list](https://www.insna.org/socnet)). Twitter: [@SocNetAnalysts](https://twitter.com/SocNetAnalysts).
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- [Mathematical Sociology Section of the American Sociological Association (ASA)](http://www.asanet.org/asa-communities/sections/mathematical-sociology).
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- [Mathematical Sociology Section of the American Sociological Association (ASA)](http://mathematicalsociology.org/). Twitter: [@Math_Sociology](https://twitter.com/Math_Sociology).
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- [NetSci - Network Science Society](http://www.netscisociety.net/). Twitter: [@netscisociety](https://twitter.com/netscisociety).
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- [Society of Young Network Scientists (SYNS)](https://society-of-young-network-scientists.github.io/). Supports early-career network scientists. Twitter: [@official_SYNS](https://twitter.com/official_SYNS).
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@ -511,21 +511,21 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
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- [ORA-LITE](http://www.casos.cs.cmu.edu/projects/ora/) - Windows program for dynamic meta-network assessment and analysis.
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- [OSoMe](http://osome.iuni.iu.edu/) - Web-based platform to analyze social media data, including through Twitter-based and co-occurrence networks.
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- [Pajek](http://mrvar.fdv.uni-lj.si/pajek/) - Windows program for large network analysis, free for noncommercial use.
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- [Analyse des réseaux : une introduction à Pajek](http://quanti.hypotheses.org/512/), in French (2011).
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- [La détection de communautés avec Pajek 3.6](http://groupefmr.hypotheses.org/544), in French (2012).
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- [Palladio](http://palladio.designhumanities.org/) - Web-based spatial network visualization tool by the [Humanities + Design research lab at Stanford University](http://hdlab.stanford.edu/projects/palladio/).
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- [PARTNER - Program to Analyze, Record, and Track Networks to Enhance Relationships](http://partnertool.net/) - Excel-based tool for building networks from surveys.
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- [PIGALE - Public Implementation of a Graph Algorithm Library and Editor](http://pigale.sourceforge.net/) - Windows program and C++ library to analyze planar graphs.
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- [Analyse des réseaux : une introduction à Pajek](https://quanti.hypotheses.org/512/), in French (2011).
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- [La détection de communautés avec Pajek 3.6](https://groupefmr.hypotheses.org/544), in French (2012).
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- [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.
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- [PARTNER - Program to Analyze, Record, and Track Networks to Enhance Relationships](https://visiblenetworklabs.com/partner-cprm/) - Excel-based tool for building networks from surveys.
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- [PIGALE - Public Implementation of a Graph Algorithm Library and Editor](https://pigale.sourceforge.net/) - Windows program and C++ library to analyze planar graphs.
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- [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.
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- [Polinode](https://www.polinode.com/) - Web-based platform to both analyze network data as well as collect network data via relationship-based surveys.
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- [PUCK - Program for the Use and Computation of Kinship data](http://www.kintip.net/) - Cross-platform Java program for genealogical network analysis.
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- [qgis-edge-bundling](https://github.com/ait-energy/qgis-edge-bundling) - Implementation of force-directed edge bundling for the QGIS Processing toolbox.
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- [Radatools](http://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.
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- [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.
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- [Retina](https://ouestware.gitlab.io/retina) - Web application to share GEXF and GraphML network visualizations.
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- [SageMath](http://www.sagemath.org/) - Free open-source mathematics software with extensive [graph capabilities](http://doc.sagemath.org/html/en/reference/graphs/index.html).
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- [Segrada](http://segrada.org/) - Cross-platform tool to build and visualize semantic graph databases.
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- [Siena](http://www.stats.ox.ac.uk/~snijders/siena/) - Simulation Investigation for Empirical Network Analysis. Formerly a Windows program, now developed as the RSiena R package.
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- [SocNetV - Social Network Visualizer](http://socnetv.sourceforge.net/) - Cross-platform program that includes a [simple Web crawler](http://socnetv.sourceforge.net/news/?post=socnetv-v16-released-with-a-working-web-crawler) to construct hyperlink networks.
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- [SageMath](https://www.sagemath.org/) - Free open-source mathematics software with extensive [graph capabilities](http://doc.sagemath.org/html/en/reference/graphs/index.html).
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- [Segrada](https://www.segrada.org/) - Cross-platform tool to build and visualize semantic graph databases.
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- [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.
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- [SocNetV - Social Network Visualizer](https://socnetv.org/) - Cross-platform program that includes a [simple Web crawler](https://socnetv.org/news/?post=socnetv-v16-released-with-a-working-web-crawler) to construct hyperlink networks.
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- [SoNIA - Social Network Image Animator](http://web.stanford.edu/group/sonia/) - Tool to visualize dynamic or longitudinal network data. Formerly a [Java program](https://sourceforge.net/projects/sonia/) ([example movies](http://www.soc.duke.edu/~jmoody77/NetMovies/index.htm)), now developed as the ndtv R package.
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- [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.
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- [SPaTo Visual Explorer](http://www.spato.net/) - Cross-platform program for the visualization and exploration of complex networks.
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- [Complex Networks Package for MatLab](http://www.levmuchnik.net/Content/Networks/ComplexNetworksPackage.html).
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- [CONTEST](http://www.maths.strath.ac.uk/research/groups/numerical_analysis/contest) - Random network toolbox that implements nine network models.
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- [Generalized Louvain](http://netwiki.amath.unc.edu/GenLouvain/GenLouvain) - Variant of the Louvain community detection algorithm.
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- [MatlabBGL](http://dgleich.github.io/matlab-bgl/) - Graph library based on the C++ Boost Graph Library.
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- [MatlabBGL](https://dgleich.github.io/matlab-bgl/) - Graph library based on the C++ Boost Graph Library.
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- [MATLAB RBN Toolbox](http://www.teuscher.ch/rbntoolbox/index.htm) - Simulation und visualization of Random Boolean Networks.
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### Python
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- [linkpred](https://github.com/rafguns/linkpred) - Assess the likelihood of potential links in a future snapshot of a network.
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- [littleballoffur](https://github.com/benedekrozemberczki/littleballoffur) - Python package for sampling from graph structured data with a scikit-learn like API.
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- [metaknowledge](http://networkslab.org/metaknowledge/) - Python package to turn bibliometrics data into authorship and citation networks.
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- [networkx](http://networkx.github.io/) - Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
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- [networkx](https://networkx.org/) - Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
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- [Implementing an ERGM from Scratch in Python](https://gist.github.com/dmasad/8509304), using networkx and numpy (2014).
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- [nxviz](https://github.com/ericmjl/nxviz/) - Visualization package for NetworkX.
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- [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.
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- [npartite](https://github.com/ike002jp/npartite) - Python algorithms for community detection in n-partite networks.
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- [PyGraphistry](https://github.com/graphistry/pygraphistry) - Python library to extract, transform, and visually explore big graphs.
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- [python-igraph](http://igraph.org/python/) - Python version of the igraph network analysis package.
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- [python-louvain](http://perso.crans.org/aynaud/communities/) - A solid implementation of Louvain community detection algorithm.
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- [python-louvain](https://perso.crans.org/aynaud/communities/) - A solid implementation of Louvain community detection algorithm.
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- [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.
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- [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).
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- [SnapVX](https://github.com/snap-stanford/snapvx) - A convex optimization solver for problems defined on a graph.
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- [migraph](https://CRAN.R-project.org/web/packages/migraph/) - A set of tools that extend common social network analysis packages for analysing multimodal and multilevel networks.
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- [ndtv](https://CRAN.R-project.org/package=ndtv) - Tools to construct animated visualizations of dynamic network data in various formats.
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- [neo4r](https://github.com/neo4j-rstats/neo4r) - Neo4J driver for R.
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- [networkD3](http://christophergandrud.github.io/networkD3/) - Create d3.js network graphs from R.
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- [networkD3](https://christophergandrud.github.io/networkD3/) - Create d3.js network graphs from R.
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- [netdiffuseR](https://CRAN.R-project.org/package=netdiffuseR) - Tools to analyze the network diffusion of innovations.
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- [netrankr](https://CRAN.R-project.org/package=netrankr) - Up-to-date collection of network centrality indices, with lots of documentation.
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- [Network Centrality in R: An Introduction](http://blog.schochastics.net/post/network-centrality-in-r-introduction/) - Includes a review of relevant R packages.
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- [DOT](http://www.graphviz.org/doc/info/lang.html) - Graph drawing syntax used by the Graphviz software.
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- [GEXF](https://gephi.org/gexf/format/) - File format used by the Gephi software.
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- [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)).
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- [JGraphT](http://jgrapht.org/) - Java graph library for graph data structures and algorithms ([example algorithms](https://github.com/agouge/Java-Network-Analyzer)).
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- [JUNG - Java Universal Network/Graph Framework](http://jung.sourceforge.net/) - Extensible library to represent network objects.
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- [JGraphT](https://jgrapht.org/) - Java graph library for graph data structures and algorithms ([example algorithms](https://github.com/agouge/Java-Network-Analyzer)).
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- [JUNG - Java Universal Network/Graph Framework](https://jung.sourceforge.net/) - Extensible library to represent network objects.
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- [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.
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- [Awesome LaTeX: TiKZ](https://github.com/egeerardyn/awesome-LaTeX#tikz).
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- [How to Draw Graphs in LaTeX?](https://tex.stackexchange.com/questions/57152/how-to-draw-graphs-in-latex)
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@ -824,7 +824,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
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- [Open Graph protocol](http://ogp.me/) - A proposed standard to turn any Web page into a “social graph object.”
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- [Periodic Table of Network Centrality](http://schochastics.net/sna/periodic.html) - Interactive periodic table of centrality indices.
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- [Picking Sides](https://codeandculture.wordpress.com/2015/04/03/picking-sides/) - Community detection in the political network of Middle Eastern alliances between various state and nonstate powers ([updated version](https://gist.github.com/briatte/c6df2f855afb4eb142e6)).
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- [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.
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<!-- - [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. -->
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- [Psych Networks](http://psych-networks.com/) - Website with news, references and [tutorials](https://psych-networks.com/tutorials/) about network modeling for psychological data.
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- [Tutorial Paper on New Methods for Estimating Psychological Networks](http://psych-networks.com/tutorial-paper-new-methods-estimating-psychological-networks/).
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- [(Psychological) Network Analysis Workshops](https://osf.io/6axte/) - 3-day workshop on psychological network analysis using R (2019).
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@ -836,10 +836,10 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
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- [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.
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- [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.
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- [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).
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- [Visualizing Historical Networks](https://www.fas.harvard.edu/~histecon/visualizing/index.html) - Historical network research projects at Harvard University.
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- [Angoulême in 1764](https://www.fas.harvard.edu/~histecon/visualizing/angouleme/index.html).
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- [Economists in Cambridge](https://www.fas.harvard.edu/~histecon/visualizing/graphing/economists.html).
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- [The Inner Life of Empires: An Eighteenth Century History](https://www.fas.harvard.edu/~histecon/visualizing/graphing/innerlife.html).
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- [Visualizing Historical Networks](https://histecon.fas.harvard.edu/visualizing/index.html) - Historical network research projects at Harvard University.
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- [Angoulême in 1764](https://histecon.fas.harvard.edu/visualizing/angouleme/index.html).
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- [Economists in Cambridge](https://histecon.fas.harvard.edu/visualizing/graphing/economists.html).
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- [The Inner Life of Empires: An Eighteenth Century History](https://histecon.fas.harvard.edu/visualizing/graphing/innerlife.html).
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### Blog Series
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- [Blog Posts About Networks by Aaron Clauset](https://www.cs.unm.edu/~aaron/blog/archives/networks/index.htm).
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- [Blog Posts About Networks by Baptiste Coulmont](http://coulmont.com/index.php?s=r%C3%A9seaux), in French.
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- [Blog Posts About Networks by Cosma R. Shalizi](http://bactra.org/weblog/cat_networks.html).
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- [Blog Posts About Networks by François Briatte](http://politbistro.hypotheses.org/tag/reseaux), in French.
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- [Blog Posts About Networks by François Briatte](https://politbistro.hypotheses.org/tag/reseaux), in French.
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- [Blog Posts About Networks by Katya Ognyanova](http://kateto.net/networks).
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- [Blog Posts About Networks by Pierre Mercklé](http://pierremerckle.fr/category/reseaux/), in French.
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- [Blog Posts About Networks on the Bad Hessian Blog](http://badhessian.org/category/networks/), by various contributors.
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@ -878,19 +878,19 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
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- [Stochastic Block Models](http://bactra.org/notebooks/stochastic-block-models.html).
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- See also: [An Annotated Bibliography on Stochastic Blockmodels](https://www.alexpghayes.com/blog/an-annotated-bibliography-on-stochastic-block-models/) (2019).
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- Daniel Little’s blog posts on the philosophy of social science:
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- [Networks](http://understandingsociety.blogspot.com/search/label/networks).
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- [Social Networks](http://understandingsociety.blogspot.com/search/label/social%20networks).
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- [Networks](https://understandingsociety.blogspot.com/search/label/networks).
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- [Social Networks](https://understandingsociety.blogspot.com/search/label/social%20networks).
|
||||
- Martin Grandjean’s blog posts about (mostly) network visualization, in English and French:
|
||||
- [Network Analysis](http://www.martingrandjean.ch/tag/analyse-de-reseau/).
|
||||
- [Social Networks](http://www.martingrandjean.ch/tag/reseaux-sociaux/).
|
||||
- [Networks Demystified](http://scottbot.net/tag/networks-demystified/), a series of blog posts by Scott B. Weingart.
|
||||
- [Netze und Netzwerke](http://netzeundnetzwerke.de/), in English and German - Blog on the history of network analysis, by Sebastian Gießmann ([old blog](http://www.netzeundnetzwerke.de/old/)).
|
||||
- [R / Notes: Networks](http://f.briatte.org/r/category/networks) - Blog posts focused on manipulating networks in R, by François Briatte.
|
||||
- [Network Analysis](https://www.martingrandjean.ch/tag/analyse-de-reseau/).
|
||||
- [Social Networks](https://www.martingrandjean.ch/tag/reseaux-sociaux/).
|
||||
- [Networks Demystified](http://www.scottbot.net/HIAL/index.html@tag=networks-demystified.html), a series of blog posts by Scott B. Weingart.
|
||||
- [Netze und Netzwerke](https://netzeundnetzwerke.de/), in English and German - Blog on the history of network analysis, by Sebastian Gießmann ([old blog](http://www.netzeundnetzwerke.de/old/)).
|
||||
- [R / Notes: Networks](https://f.briatte.org/r/category/networks) - Blog posts focused on manipulating networks in R, by François Briatte.
|
||||
- [TNT: The Network Thinkers](http://www.thenetworkthinkers.com/) - Valdis Krebs’ blog.
|
||||
- [Under Roquentin’s Chestnut Tree](https://mboudour.github.io/) - Moses Boudourides’ blog on analyzing (mostly) networks with Python.
|
||||
- Yannick Rochat’s blog posts about digital humanities, in English and French:
|
||||
- [Character Networks](http://yro.ch/tag/character-network/).
|
||||
- [Network Analysis](http://yro.ch/tag/network-analysis/).
|
||||
- [Character Networks](https://yro.ch/tag/character-network/).
|
||||
- [Network Analysis](https://yro.ch/tag/network-analysis/).
|
||||
|
||||
### Fictional Networks
|
||||
|
||||
@ -898,11 +898,11 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
|
||||
|
||||
- [Analyzing Networks of Characters in _Love Actually_](http://varianceexplained.org/r/love-actually-network/) - Features a cluster analysis and a [Shiny app](https://dgrtwo.shinyapps.io/love-actually-network/) (using R + Shiny).
|
||||
- [Character Co-Occurrences in Victor Hugo’s _Les Misérables_](https://docs.bokeh.org/en/latest/docs/examples/topics/categorical/les_mis.html), plotted as an adjacency matrix, written in Python (+ Javascript).
|
||||
- [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.
|
||||
<!-- - [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. -->
|
||||
- [Lessons on Exponential Random Graph Modeling from _Grey’s Anatomy_ hook-ups](http://badhessian.org/2012/09/lessons-on-exponential-random-graph-modeling-from-greys-anatomy-hook-ups/) (using R).
|
||||
- [Network Analysis of Shakespeare’s _Macbeth_](https://mboudour.github.io/2015/10/28/Shakespeare's-Macbeth-Network.html) (using Python).
|
||||
- [The Network and Trajectories of Transitions among Sentential Co-Occurrences of Characters of Arthur Conan Doyle’s _A Study in Scarlet_](https://mboudour.github.io/2016/04/17/Arthur-Conan-Doyle's-A-Study-in-Scarlet-Network-&-Trajectories.html) (using Python; [code](https://github.com/mboudour/WordNets/blob/master/ArthurConanDoyle_AStudyInScarlet_Network%26Trajectories.ipynb)).
|
||||
- [Network Visualization: Mapping Shakespeare’s Tragedies](http://www.martingrandjean.ch/network-visualization-shakespeare/).
|
||||
- [Network Visualization: Mapping Shakespeare’s Tragedies](https://www.martingrandjean.ch/network-visualization-shakespeare/).
|
||||
- [Social Network Analysis of _Alice in Wonderland_](https://aclanthology.org/W12-2513/).
|
||||
- [_Star Wars_ Social Networks: The Force Awakens](http://evelinag.com/blog/2016/01-25-social-network-force-awakens/index.html) - Also an example of a social network analysis written in F#.
|
||||
- [Universal Properties of Mythological Networks](https://doi.org/10.1209/0295-5075/99/28002) ([preprint](https://arxiv.org/abs/1205.4324)).
|
||||
@ -960,7 +960,7 @@ To the extent possible under law, the authors of this list – by chronological
|
||||
[Aditya Khanna](https://vivo.brown.edu/display/akhann16),
|
||||
[Manlio De Domenico](https://manliodedomenico.com/),
|
||||
Patrick Kaminski,
|
||||
[Ericka Menchen-Trevino](http://www.ericka.cc/),
|
||||
[Ericka Menchen-Trevino](https://erickaakcire.github.io/),
|
||||
[Tam-Kien Duong](https://github.com/taniki),
|
||||
[Jeremy Foote](https://github.com/jdfoote),
|
||||
[Catherine Cramer](http://nysci.org/nysci_people/catherine-cramer/),
|
||||
@ -972,13 +972,13 @@ Alden S. Klovdahl,
|
||||
[James Fairbanks](http://www.jpfairbanks.net/),
|
||||
[Danielle Varda](http://www.ucdenver.edu/academics/colleges/SPA/FacultyStaff/Faculty/Pages/DanielleVarda.aspx),
|
||||
[Andrew Pitts](https://twitter.com/andpitts),
|
||||
[Roman Bartusiak](http://riomus.ml/),
|
||||
[Koustuv Sinha](http://koustuvsinha.github.io/),
|
||||
[Roman Bartusiak](https://github.com/riomus),
|
||||
[Koustuv Sinha](https://koustuvsinha.com/),
|
||||
[Mohsen Mosleh](http://mohsenmosleh.com/),
|
||||
[Sandro Sousa](https://github.com/sandrofsousa),
|
||||
[Jean-Baptiste Pressac](https://github.com/JBPressac),
|
||||
[Patrick Connolly](https://github.com/patcon),
|
||||
[Hristo Georgiev](http://hristog.github.io/),
|
||||
[Hristo Georgiev](https://hristog.github.io/),
|
||||
[Tiago Azevedo](http://github.com/tjiagoM),
|
||||
[Luis Miguel Montilla](https://twitter.com/luismmontilla),
|
||||
[Keith Turner](https://github.com/keith-turner),
|
||||
@ -986,7 +986,7 @@ Alden S. Klovdahl,
|
||||
[Benedek Rozemberczki](https://github.com/benedekrozemberczki),
|
||||
[Xing Han Lu](https://xinghanlu.com/),
|
||||
[Vincent Labatut](https://cv.hal.science/vlabatut),
|
||||
[David Schoch](http://mr.schochastics.net/),
|
||||
[David Schoch](https://www.mr.schochastics.net/),
|
||||
[Jaewon Chung](https://github.com/j1c),
|
||||
[Benedek Rozemberczki](https://github.com/benedekrozemberczki),
|
||||
[Alex Loftus](https://github.com/loftusa),
|
||||
|
Loading…
Reference in New Issue
Block a user