- The current version of statnet (version 2014.2.0) was released Feb 9, 2014. Details on the component packages and installation instructions are available.
- 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 (www.r-project.org), 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.
- statnet User's Guide: JoSS publications on the statistical theory and software in statnet
- Workshop materials The most up-to-date tutorials for using statnet packages.
- Older training workshop materials
- Papers that use statnet
- Other links
Looking for help? This is the place. Instructions for joining the statnet users group.
- Users group information
If you use statnet, please cite it. All the citation information you need can be found here.
The DeveloperInfo page has links to specs and information about source code processes.
- Building and installing a component package (Windows)
- StatnetRepository info about public and preview R package repositories
- Building custom ergm terms with RStudio, Windows instructions
- Building custom ergm terms with RStudio, Mac instructions
- Building custom ergm terms with RStudio, Linux instructions