Knowledge Garden: Social Network Analysis

Web resources

  • The navigational aspects of social networks: Aaron Clauset and Cristopher Moore, Computer Science Department of the University of New Mexico (PDF, 188 kB)
  • Finding community structure in very large networks : Cristopher Moore, Computer Science Department of the University of New Mexico (PDF, 232 kB)
  • Finding local community structure in networks: Cristopher Moore, Computer Science Department of the University of New Mexico (PDF, 499 kB)
  • Networks, Groups and Social Interaction overview from the University of Amsterdam (note: some links on this page are not up to date)


  • Social Network Analysis : Methods and Applications (Stanley Wasserman, Katherine Faust, Dawn Iacobucci) – 1994
  • Six Degrees: The Science of a Connected Age by Duncan J. Watts;
  • Advances in Social Network Analysis : Research in the Social and Behavioral Sciences by Stanley Wasserman, Joseph Galaskiewicz.
  • Structural Holes: The Social Structure of Competition by Ronald S. Burt
  • Small Worlds : The Dynamics of Networks between Order and Randomness by Duncan J. Watts
  • Linked: How Everything Is Connected to Everything Else and What It Means by Albert-Laszlo Barabasi, Albert-Laszlo Barbasi


  • UCINET users group: on Yahoo! Groups

Blogs (weblogs)

  • It’s all about people and networks (Efios) on social networks
  • Network Weaving (Valdis Krebs and colleagues)
  • Networks, complexity and relatedness (Patti Anklam)


  • UCINET social network analysis software
  • KrackPlot: Network visualization
  • ANTHROPAC: helps to collect and analyze structured qualitative and quantitative data including freelists, pilesorts, triads, paired comparisons, and ratings. ANTHROPAC’s analytical tools include techniques that are unique to Anthropology, such as consensus analysis, as well as standard multivariate tools such as multiple regression, factor analysis, cluster analysis, multidimensional scaling and correspondence analysis. In addition, the program provides a wide variety of data manipulation and transformation tools, plus a full-featured matrix algebra language.
  • FATCAT: A different kind of network analysis program. FATCAT works with categorical who-to-whom matrices, in which you select a variable that describes nodes to determine the categories for rows (who) and another one to determine the categories for columns (whom).
  • Negopy: One of the oldest network analysis programs, Negopy finds cliques, liaisons, and isolates in networks having up to 1,000 members and 20,000 links. In use at over 100 universities and research centres around the world.
  • StOCNET: StOCNET is an open software system currently under development that will provide a new platform to make a number of statistical methods that are presently privately owned available to a wider audience. A new version that contains BLOCKS and SIENA can be downloaded
  • Gradap 2: GRAph Definition and Analysis Package, can be used to define, manipulate, and analyze graphs and networks of various kinds.
  • Prepstar
  • PSPAR: Sparse matrix version of PSTAR
  • I-Know: software platform that assists the study, creation, and growth of knowledge networks
  • Blanche: a computational modeling environment to specify, simulate, and analyze the evolution and co-evolution of networks.
  • Visone: Network visualization
  • Pajek: Software for visualizing large sets of network data for SNA
  • Netviz: Network visualization

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