Visit the **statnet Wiki** for information on, background material for and access to the **statnet **suite of packages for network analysis. You can find installation instructions, tutorials, and developer resources at the wiki.

**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**.