The Software

A summary of StOCNET, version 1.4, is given in
Mark Huisman and Marijtje A.J. van Duijn, StOCNET: Software for the statistical analysis of social networks, published in Connections.

Version 1.4, (April, 2003) of StOCNET includes interfaces for the following five programs for statistical modeling of social networks.

• SIENA, for the statistical estimation of models for the evolution of social networks according to the dynamic actor-oriented model of Snijders (2001), and for MCMC estimation of exponential random graph models (also called the "p* model") according to Snijders (2002);
  more information is at the SIENA homepage.
• BLOCKS, designed for stochastic blockmodeling of relational data according to the methods described in Nowicki & Snijders (2001);
  a bit more information is at the Social networks page of Tom Snijders.
• p2, for the estimation of models for testing effects of actor variables and dyadic variables on the ties in a network, controlling for reciprocity and for the dispersion of the in- and of the out-degrees, according to the p2 model of van Duijn (1995), also see Lazega and van Duijn (1997) and van Duijn, Snijders, & Zijlstra (2004);
  further information can be found at the web page of Bonne Zijlstra (go to the description of his network research).
• Ultras for the analysis of undirected network data using ultrametric (i.e., hierarchical clustering) measurement models according to the methods of Schweinberger and Snijders (2003); for further information see the Programs web page of Michael Schweinberger.
• ZO for the analysis of directed and undirected graphs with given degrees according to the methods of Snijders (1991) and Molloy & Reed (1995). Stated more generally, ZO permits the analysis of 0-1 matrices with given marginal totals and a given set of structural zeros. For directed graphs, it is also possible to condition on the number of mutual dyads.
  A bit more information is at the Social networks page of Tom Snijders.
  

An overview of software for social network analysis, including StOCNET as well as many other packages, is given in Mark Huisman and Marijtje van Duijn, Software for statistical analysis of social networks (2004).

The newest version of StOCNET can be downloaded from the Downloads page. There are separate manuals for StOCNET and for the various modules; these manuals also can be downloaded from the Downloads page. In this version of StOCNET you can import network data and actor data, transform data, select data, and run various modules in a user-friendly and convenient way.
Updates and source codes of the modules contained in StOCNET also are made available from the Downloads page.

The following hardware and software specifications are required for installing StOCNET:

• at least a Pentium processor with a minimum of 16MB RAM (better 32MB),
• Microsoft Windows version 95, 98, XP, or NT, and
• a minimum of 5 MB free disk space to install and run the program.

StOCNET is a 32-bits program and will not run under Windows 3.x or Windows 3.x with Win32s.

To install StOCNET on your hard disk, run SETUP.EXE of the downloaded files. The installation itself is self-explanatory.