Awesome-Mirrors/awesome-network-analysis
1
0
Fork 0
mirror of https://github.com/briatte/awesome-network-analysis.git synced 2024-10-01 01:06:13 -04:00
Code Issues Packages Projects Releases Wiki Activity

illustration

Browse Source
This commit is contained in:
François 2016-04-23 15:09:11 +02:00
parent 2e7fcc895c
commit e80c3d7790
2 changed files with 14 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

18
README.md
View File

@ -4,6 +4,8 @@ An [awesome list](https://github.com/sindresorhus/awesome) of resources to const
Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awesome-deep-learning), [Awesome Math](https://github.com/rossant/awesome-math) and others. Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awesome-deep-learning), [Awesome Math](https://github.com/rossant/awesome-math) and others.
[![Adamic and Glance's network of political blogs, 2008.](illustration.png)](http://www.maths.tcd.ie/~mnl/store/AdamicGlance2004a.pdf)
## Table of Contents ## Table of Contents
- __[Books](#books)__ - __[Books](#books)__
@ -367,16 +369,19 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
## Software ## Software
> Several links in this section come from the [NetWiki Shared Code](http://netwiki.amath.unc.edu/SharedCode/SharedCode) page 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](http://www.sciencedirect.com/science/article/pii/B9780080970868431211) entry of the _International Encyclopedia of Social and Behavioral Sciences_, 2nd edition (2015). > 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](http://www.sciencedirect.com/science/article/pii/B9780080970868431211) 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. > 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). > Software-centric tutorials are listed below their program of choice: other tutorials are listed [in the next section](#tutorials).
1. [ArcGIS Network Analyst](http://www.esri.com/software/arcgis/extensions/networkanalyst) - Network-based spatial analysis software for solving complex routing problems. 1. [ArcGIS Network Analyst](http://www.esri.com/software/arcgis/extensions/networkanalyst) - Network-based spatial analysis software for solving complex routing problems.
- [CFinder](http://www.cfinder.org/) - Cross-platform Java program to identify clusters and communities through the Clique Percolation Method (CPM). - [CFinder](http://www.cfinder.org/) - Cross-platform Java program to identify clusters and communities through the Clique Percolation Method (CPM).
- [Circos](http://circos.ca/) - Cross-platform program to produce circular layouts of network data, written in Perl.
- [Cytoscape](http://www.cytoscape.org/) - Cross-platform Java program to build, analyze and visualize networks. Also a JavaScript library. - [Cytoscape](http://www.cytoscape.org/) - Cross-platform Java program to build, analyze and visualize networks. Also a JavaScript library.
- [Network Analysis with Cytoscape Tutorial](https://archaeologicalnetworks.wordpress.com/resources/#cytoscape) - Illustrated through an archaeological and geographical case study (2013). - [Network Analysis with Cytoscape Tutorial](https://archaeologicalnetworks.wordpress.com/resources/#cytoscape) - Illustrated through an archaeological and geographical case study (2013).
- [Discourse Network Analyzer (DNA)](http://www.philipleifeld.com/discourse-network-analyzer/discourse-network-analyzer-dna.html) - Qualitative content analysis tool with network export facilities, written in Java with R integration. - [Discourse Network Analyzer (DNA)](http://www.philipleifeld.com/discourse-network-analyzer/discourse-network-analyzer-dna.html) - Qualitative content analysis tool with network export facilities, written in Java with R integration.
- [E-Net](https://sites.google.com/site/enetsoftware1/) - Windows program for ego network analysis. - [E-Net](https://sites.google.com/site/enetsoftware1/) - Windows program for ego network analysis.
- [easyN](http://www.esyn.org/) - Online tool aimed at representing and sharing gene interaction networks as well as Petri net models.
- [Gephi](https://gephi.github.io/) - Cross-platform, free and open source tool for network visualization. - [Gephi](https://gephi.github.io/) - Cross-platform, free and open source tool for network visualization.
- [Clément Levallois’ Gephi Tutorials and Plugins](http://www.clementlevallois.net/gephi.html). - [Clément Levallois’ Gephi Tutorials and Plugins](http://www.clementlevallois.net/gephi.html).
- [Geographische Netzwerkvisualisierung Mit Dem Programm ‘Gephi’](http://www.podcampus.de/nodes/RJVZo), in German (2016). - [Geographische Netzwerkvisualisierung Mit Dem Programm ‘Gephi’](http://www.podcampus.de/nodes/RJVZo), in German (2016).
@ -405,6 +410,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
- [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. - [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.
- [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. - [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.
- [SoNIA](http://web.stanford.edu/group/sonia/) (Social Network Image Animator) - 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. - [SoNIA](http://web.stanford.edu/group/sonia/) (Social Network Image Animator) - 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.
- [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. - [StOCNET](http://www.gmw.rug.nl/~stocnet/StOCNET.htm) - Several Windows programs developed by the same team as Siena.
- [Tulip](http://www.tulip-software.org/) - 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://www.tulip-software.org/) - 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. - [UCINET](https://sites.google.com/site/ucinetsoftware/) - Windows commercial software package for the analysis of social network data.
@ -438,6 +444,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
1. [Benchmark Graphs to Test Community Detection Algorithms](https://sites.google.com/site/santofortunato/inthepress2) - C++ code to generate weighted and unweighted graphs. 1. [Benchmark Graphs to Test Community Detection Algorithms](https://sites.google.com/site/santofortunato/inthepress2) - C++ code to generate weighted and unweighted graphs.
- [BGL - Boost Graph Library](http://www.boost.org/doc/libs/1_60_0/libs/graph/doc/) - C++ library that provides a generic interface to access graph structures. - [BGL - Boost Graph Library](http://www.boost.org/doc/libs/1_60_0/libs/graph/doc/) - C++ library that provides a generic interface to access graph structures.
- [igraph](http://igraph.org/) - C library of network analysis tools; also exists as packages for Python and R. - [igraph](http://igraph.org/) - C library of network analysis tools; also exists as packages for Python and R.
- [MapEquation](http://www.mapequation.org/) - C++ code for the Infomap method of multilevel community detection.
- [Louvain Method](https://sites.google.com/site/findcommunities/) - C++ code for the [Louvain multi-level community detection algorithm](http://arxiv.org/abs/0803.0476). - [Louvain Method](https://sites.google.com/site/findcommunities/) - C++ code for the [Louvain multi-level community detection algorithm](http://arxiv.org/abs/0803.0476).
- [networks.tb](http://networks-tb.sourceforge.net/) - C program designed for analyzing socio-semantic networks. Runs on Linux and Mac OS X. - [networks.tb](http://networks-tb.sourceforge.net/) - C program designed for analyzing socio-semantic networks. Runs on Linux and Mac OS X.
- [OGDF - Open Graph Drawing Framework](http://www.ogdf.net/) - Self-contained C++ class library for diagram, network and tree layouts. - [OGDF - Open Graph Drawing Framework](http://www.ogdf.net/) - Self-contained C++ class library for diagram, network and tree layouts.
@ -460,10 +467,11 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
### MATLAB ### MATLAB
1. [Complex Networks Package for MatLab](http://www.levmuchnik.net/Content/Networks/ComplexNetworksPackage.html). 1. [Brain Connectivity Toolbox](https://sites.google.com/site/bctnet/) - Toolbox for complex-network analysis of structural and functional brain-connectivity data, with links to many related projects.
- [Complex Networks Package for MatLab](http://www.levmuchnik.net/Content/Networks/ComplexNetworksPackage.html).
- [CONTEST](http://www.maths.strath.ac.uk/research/groups/numerical_analysis/contest) - Random network toolbox that implements nine network models. - [CONTEST](http://www.maths.strath.ac.uk/research/groups/numerical_analysis/contest) - Random network toolbox that implements nine network models.
- [Generalized Louvain](http://netwiki.amath.unc.edu/GenLouvain/GenLouvain) - A variant of the Louvain community detection algorithm. - [Generalized Louvain](http://netwiki.amath.unc.edu/GenLouvain/GenLouvain) - Variant of the Louvain community detection algorithm.
- [MatlabBGL](http://dgleich.github.io/matlab-bgl/) - A graph library for Matlab, based on the Boost graph library. - [MatlabBGL](http://dgleich.github.io/matlab-bgl/) - Graph library based on the C++ Boost Graph Library.
- [MATLAB RBN Toolbox](http://www.teuscher.ch/rbntoolbox/index.htm) - Simulation und visualization of Random Boolean Networks. - [MATLAB RBN Toolbox](http://www.teuscher.ch/rbntoolbox/index.htm) - Simulation und visualization of Random Boolean Networks.
### Python ### Python
@ -477,6 +485,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
- [linkpred](https://github.com/rafguns/linkpred) - Assess the likelihood of potential links in a future snapshot of a network. - [linkpred](https://github.com/rafguns/linkpred) - Assess the likelihood of potential links in a future snapshot of a network.
- [networkx](http://networkx.github.io/) - Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. - [networkx](http://networkx.github.io/) - Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
- [Implementing an ERGM From Scratch in Python](http://davidmasad.com/blog/ergms-from-scratch/), using networkx and numpy (2014). - [Implementing an ERGM From Scratch in Python](http://davidmasad.com/blog/ergms-from-scratch/), using networkx and numpy (2014).
- [npartite](https://github.com/ike002jp/npartite) - Python algorithms for community detection in n-partite networks.
- [python-igraph](http://igraph.org/python/) - Python version of the igraph network analysis package. - [python-igraph](http://igraph.org/python/) - Python version of the igraph network analysis package.
- [python-louvain](http://perso.crans.org/aynaud/communities/) - A solid implementation of Louvain community detection algorithm. - [python-louvain](http://perso.crans.org/aynaud/communities/) - A solid implementation of Louvain community detection algorithm.
@ -671,6 +680,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
- [Predicting Highly Cited Papers](http://arxiv.org/abs/1310.8220) - Prediction of the next highly cited papers in network science. - [Predicting Highly Cited Papers](http://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). - [Social Network and Network Science Co-Citations Across Disciplines in 1996-2013](https://github.com/raffaelevacca/EUSN-co-citation-networks).
- [Three Hard Questions about Network Science](http://environmentalpolicy.ucdavis.edu/node/292). - [Three Hard Questions about Network Science](http://environmentalpolicy.ucdavis.edu/node/292).
- [A Twenty-First Century Science](http://www.nature.com/nature/journal/v445/n7127/full/445489a.html) - Essay by Duncan Watts.
- [What is Network Science?](http://journals.cambridge.org/repo_A88Sa8AHdt4SoI) - First editorial of the recent _Network Science_ journal. - [What is Network Science?](http://journals.cambridge.org/repo_A88Sa8AHdt4SoI) - First editorial of the recent _Network Science_ journal.
### Small Worlds ### Small Worlds

BIN
illustration.png Normal file
View File

Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 271 KiB