Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina GrĂ¼n, Edzer Pebesma & Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data | Handcock | Journal of Statistical Software
Authors: Mark S. Handcock, David R. Hunter, Carter T. Butts, Steven M. Goodreau, Martina Morris
Title: statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data
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.

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Paper: statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data     Download PDF (Downloads: 17938)
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DOI: 10.18637/jss.v024.i01

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.