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Software tools |
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The following are free software tools that we will be using in the class:
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network analysis and visualization,
menu driven, suitable for large networks
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platforms: Windows (on linux via Wine)
download |
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agent based modeling
recently added network modeling capabilities
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platforms: any (Java)
download
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 GUESS
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network analysis and visualization,
extensible, script-driven (jython) |
platforms: any (Java)
download |
Other software tools that we will not be using but that you may find useful:
visualization and analysis:
UCInet - user friendly social network visualization and analysis software (suitable smaller networks)
iGraph - if you are familiar with R, you can use iGraph as a module to analyze or create large networks, or you can directly use the C functions
Jung - comprehensive Java library of network analysis, creation and visualization routines
Graph package for Matlab (untested?) - if Matlab is the environment you are most comfortable in, here are some basic routines
SIENA - for p* models and longitudinal analysis
SNA package for R - all sorts of analysis + heavy duty stats to boot
NetworkX - python based free package for analysis of large graphs
InfoVis Cyberinfrastructure - large agglomeration of network analysis tools/routines, partly menu driven
visualization only:
GraphViz - open source network visualization software (can handle large/specialized networks)
TouchGraph - need to quickly create an interactive visualization for the web?
yEd - free, graph visualization and editing software
specialized:
fast community finding algorithm
motif profiles
CLAIR library - NLP and IR library (Perl Based) includes network analysis routines
finally: INSNA long list of SNA packages
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