Social network analysis software. Social network analysis (SNA) software is software which facilitates quantitative or qualitative analysis of social networks, by describing features of a network either through numerical or visual representation.

Overview
Networks can consist of anything from families, project teams, classrooms, sports teams, legislatures, nation-states, disease vectors, membership on networking websites like Twitter or Facebook, or even the Internet.  Networks can consist of direct linkages between nodes or indirect linkages based upon shared attributes, shared attendance at events, or common affiliations. Network features can be at the level of individual nodes, dyads, triads, ties and/or edges, or the entire network.  For example, node-level features can include network phenomena such as betweenness and centrality, or individual attributes such as age, sex, or income. SNA software generates these features from raw network data formatted in an edgelist, adjacency list, or adjacency matrix (also called sociomatrix), often combined with (individual/node-level) attribute data. Though the majority of network analysis software uses a plain text ASCII data format, some software packages contain the capability to utilize relational databases to import and/or store network features.

Features 
Visual representations of social networks are important to understand network data and convey the result of the analysis. Visualization often also facilitates qualitative interpretation of network data.   With respect to visualization, network analysis tools are used to change the layout, colors, size and other properties of the network representation.

Some SNA software can perform predictive analysis. This includes using network phenomena such as a tie to predict individual level outcomes (often called peer influence or contagion modeling), using individual-level phenomena to predict network outcomes such as the formation of a tie/edge (often called homophily models) or particular type of triad, or using network phenomena to predict other network phenomena, such as using a triad formation at time 0 to predict tie formation at time 1.

Collection of social network analysis tools and libraries

See also
 Comparison of research networking tools and research profiling systems
 Social network
 Social network analysis
 Social networking
 Organizational Network Analysis

References

Notes

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Krebs, Valdis (2008) A Brief Introduction to Social Network Analysis (Common metrics in most SNA software Web Reference.)
Krebs, Valdis (2008) Various Case Studies & Projects using Social Network Analysis software Web Reference .
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Watts, Duncan. (2004). Six Degrees: The Science of a Connected Age. W. W. Norton & Company.
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White, Harrison, Scott Boorman and Ronald Breiger. 1976. "Social Structure from Multiple Networks: I Blockmodels of Roles and Positions." American Journal of Sociology 81: 730–80.

External links
International Network for Social Network Analysis (INSNA) list of software packages and libraries: Computer Programs for Social Network Analysis page.
 2010 : A comparative study of social network analysis tools by Combe, Largeron, Egyed-Zsigmond and Géry: 

 
Social networks
Comparisons of mathematical software
Data analysis software
Social network analysis