Software for social network analysis

Introduction This chapter reviews software for the analysis of social networks. Both commercial and freely available packages are considered. Based on the software page on the INSNA website (http://www.insna.org/INSNA/soft inf.html), and using the main topics in the book on network analysis by Wasserman and Faust (1994), which we regard as the standard text, we selected twenty-seven software packages: twenty-three stand-alone programs, listed in Table 13.1.1, and five utility toolkits given in Table 13.1.2. Software merely aimed at visualization of networks was not admitted to the list because this is the topic of Chapter 12 of this book (Freeman 2004). We do review a few programs with strong visualization properties. Some were originally developed for network visualization, and now contain analysis procedures (e.g., NetDraw; Borgatti 2002). Other programs were specifically developed to integrate network analysis and visualization (e.g., NetMiner, Cyram 2004, and visone; Brandes and Wagner 2003). Two other programs for network visualization are worth mentioning here because some of the reviewed software packages have export functions to these graph drawing programs, or they are freely distributed together with the social analysis software: KrackPlot (Krackhardt, Blythe, and McGrath 1994) and Mage (Richardson 2001). The age of the software was not a criterion for selection, although the release dates of the last versions of the majority of the reviewed software were within the last one or two years. Tables 13.1.1 and 13.1.2 describe the main objective or characteristic of each program.

[1]  R. Darrell Bock,et al.  An Adaptation of Holzinger's B-Coefficients for the Analysis of Sociometric Data , 1950 .

[2]  Leo Katz,et al.  A new status index derived from sociometric analysis , 1953 .

[3]  P. Bonacich Factoring and weighting approaches to status scores and clique identification , 1972 .

[4]  K. Ord Estimation Methods for Models of Spatial Interaction , 1975 .

[5]  Ronald S. Burt,et al.  Positions in Networks , 1976 .

[6]  L. Freeman Centrality in social networks conceptual clarification , 1978 .

[7]  P. Doreian Linear Models with Spatially Distributed Data , 1980 .

[8]  P. Holland,et al.  An Exponential Family of Probability Distributions for Directed Graphs , 1981 .

[9]  David Krackardt,et al.  QAP partialling as a test of spuriousness , 1987 .

[10]  John Scott What is social network analysis , 2010 .

[11]  F. N. Stokman,et al.  GRADAP : Graph Definition And Analysis Package , 1989 .

[12]  SNAPS (Social Network Analysis Procedures) for GAUSS , 1990 .

[13]  T. Snijders Enumeration and simulation methods for 0–1 matrices with given marginals , 1991 .

[14]  C. Geyer,et al.  Constrained Monte Carlo Maximum Likelihood for Dependent Data , 1992 .

[15]  R. Fildes Journal of the Royal Statistical Society (B): Gary K. Grunwald, Adrian E. Raftery and Peter Guttorp, 1993, “Time series of continuous proportions”, 55, 103–116.☆ , 1993 .

[16]  Bruce A. Reed,et al.  A Critical Point for Random Graphs with a Given Degree Sequence , 1995, Random Struct. Algorithms.

[17]  Kenneth A. Frank,et al.  Identifying cohesive subgroups , 1995 .

[18]  Á. M. Hernáez Borgatti, Stephen; Martin Everett i Lin Freeman. UCINET IV. Network Analysis Software. Version 1.0. Columbia: Analytic Technologies, 1992 , 1995 .

[19]  S. Wasserman,et al.  Logit models and logistic regressions for social networks: I. An introduction to Markov graphs andp , 1996 .

[20]  K. Frank Mapping interactions within and between cohesive subgroups , 1996 .

[21]  Bart Selman,et al.  The Hidden Web , 1997, AI Mag..

[22]  Marijtje A. J. van Duijn,et al.  Simulation for Statistical Inference in Dynamic Network Models , 1997 .

[23]  Anthropology: Analyzing large kinship and marriage networks with Pgraph and Pajek , 1999 .

[24]  Vladimir Batagelj,et al.  Pajek - Program for Large Network Analysis , 1999 .

[25]  Andrew Seary,et al.  Eigen Analysis of Networks , 2000, J. Soc. Struct..

[26]  Vladimir Batagelj,et al.  Pajek - Analysis and Visualization of Large Networks , 2004, Graph Drawing Software.

[27]  Linton C. Freeman,et al.  Graphical Techniques for Exploring Social Network Data , 2001 .

[28]  T. Snijders,et al.  Estimation and Prediction for Stochastic Blockstructures , 2001 .

[29]  Linton C. Freeman,et al.  Models and Methods in Social Network Analysis: Graphic Techniques for Exploring Social Network Data , 2001 .

[30]  Frank Harary,et al.  P-Systems: A Structural Model for Kinship Studies , 2001 .

[31]  T. Snijders The statistical evaluation of social network dynamics , 2001 .

[32]  T. Snijders,et al.  Conditional maximum likelihood estimation under various specifications of exponential random graph models , 2002 .

[33]  Tom A. B. Snijders,et al.  Markov Chain Monte Carlo Estimation of Exponential Random Graph Models , 2002, J. Soc. Struct..

[34]  V. Batagelj,et al.  ANALYSIS AND VISUALIZATION OF LARGE NETWORKS , 2003 .

[35]  T. Snijders,et al.  10. Settings in Social Networks: A Measurement Model , 2003 .

[36]  Mark Huisman,et al.  StOCNET: Software for the statistical analysis of social networks , 2003 .

[37]  Sebastian Stiller,et al.  Network Models , 2004, Network Analysis.

[38]  Ulrik Brandes,et al.  Analysis and Visualization of Social Networks , 2003, Graph Drawing Software.

[39]  T. Snijders,et al.  p2: a random effects model with covariates for directed graphs , 2004 .

[40]  T. Snijders Models for longitudinal network datain , 2005 .

[41]  Vladimir Batagelj,et al.  Exploratory Social Network Analysis with Pajek , 2005 .

[42]  S. Wasserman,et al.  Models and Methods in Social Network Analysis , 2005 .

[43]  S. Wasserman,et al.  Models and Methods in Social Network Analysis: An Introduction to Random Graphs, Dependence Graphs, and p * , 2005 .

[44]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.