statnet wiki Software tools for the analysis, simulation and visualization of network data.


  • We have a new GUI for statnet that runs in a browser window (based on RShiny, for those who have been following that app). It's called statnetWeb. The point-and-click functionality is great for newbies (and thus for teachers), but even old hands will find the interface useful for simple analyses. We will be teaching a workshop on statnetWeb at the Brighton Sunbelt meeting in June. More details and information on the statnetWeb wiki page.
  • EUSN 2014 workshop materials are online here.
  • Network Modeling for Epidemics training workshop materials are online here.
  • Sunbelt 2014 workshop materials are online here


statnet is a suite of software packages for network analysis that implement recent advances in the statistical modeling of networks. The analytic framework is based on Exponential family Random Graph Models (ergm). statnet provides a comprehensive framework for ergm-based network modeling, including tools for model estimation, model evaluation, model-based network simulation, and network visualization. This broad functionality is powered by a central Markov chain Monte Carlo (MCMC) algorithm.

statnet has a different purpose than the excellent packages UCINET or Pajek; the focus is on statistical modeling of network data. The statistical modeling capabilities of statnet include ERGMs, latent space and latent cluster models. The packages are written in a combination of (the open-source statistical language) R and (ANSI standard) C, and are called from the R command line. And because it runs in the R package (, you also have access to the full functionality of R, including the packages "network" and "sna" written by Carter Butts. statnet has a command line interface, not a GUI, with a syntax that resembles R.


Instructions on how to install and use the statnet packages and the R program.


Didactic publications, tutorials used at our training workshops, and other workshop presentations that provide an overview of the statistical models and software, some example analyses, a glossary of terms and a bibliography.

Frequently Asked Questions

Looking for help? This is the place. Instructions for joining the statnet users group.

License and attribution

If you use statnet, please cite it. All the citation information you need can be found here.

Developer Information

The DeveloperInfo page has links to specs and information about source code processes.

Network Modeling Group Meeting at University of Washington

NMG Meeting Agenda

Last modified 25 hours ago Last modified on 05/21/15 13:40:41