- 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. If you are interested in this simple but powerful GUI for statnet, details and information can be found on the statnetWeb wiki page.
- Sunbelt2016 We will be teaching 8 workshops on network analysis with statnet at the Sunbelt in Newport Beach. For the schedule, and to register, please use the INSNA workshop registration page. If you are registered, please be sure to install the latest versions of R and Rstudio, and the statnet packages needed for your workshop BEFORE the workshop. Installation instructions are on our wiki. Workshop materials will be online on our wiki soon, so check back here in the next few weeks.
- Network Modeling for Epidemics 2016 workshop will be held August 29 - September 2 on the University of Washington campus in Seattle. More information and training materials from last year's workshop can be found online here.
- EUSN 2016 We will be teaching two workshops at EUSN this year: ERGM for cross-sectional netowrk analysis and TERGM for dynamic network analysis. We also recommend the Introduction workshop taught by Michal Bojanowski. More info can be found at the EUSN workshop page, and the 2014 materials are still online here.
- An update of the core packages is planned for March 2016 on CRAN. Details on the component packages and installation instructions will be available.
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