Work

statnet : Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data

Year: 2008

Type: article

Abstract: statnet is a suite of software packages for statistical network analysis. The packages implement recent advances in network modeling based on exponential-family random graph models (ERGM). The components of the package provide 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. The coding is optimized for speed and robustness.

Source: Journal of Statistical Software

DOI: 10.18637/jss.v024.i01

Authors: Mark S. Handcock, David R. Hunter, Carter T. Butts, Steven M. Goodreau, Martina Morris

Institution: University of Washington

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: diamond

Funders: National Institutes of Health, National Institute on Drug Abuse, National Institute of General Medical Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: G1431855629, Quantifying HIV Transmission Risk in Sex/Drug Networks, Modeling HIV and STD in Drug User and Social Networks, Center for Studies in Demography and Ecology, Novel Statistical Models for Synthesizing Social Networks and Epidemic Dynamics