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

Mark S. Handcock | Zendy; David R. Hunter | Zendy; Carter T. Butts | Zendy; Steven M. Goodreau | Zendy; Martina Morris | Zendy

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

Author(s) -

Mark S. Handcock,

David R. Hunter,

Carter T. Butts,

Steven M. Goodreau,

Martina Morris

Publication year - 2008

Publication title -

journal of statistical software

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 7.636

H-Index - 145

ISSN - 1548-7660

DOI - 10.18637/jss.v024.i01

Subject(s) - computer science , markov chain monte carlo , exponential random graph models , suite , visualization , software , data mining , robustness (evolution) , markov chain , theoretical computer science , graph , random graph , machine learning , artificial intelligence , bayesian probability , programming language , biochemistry , chemistry , archaeology , gene , history

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.

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