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Cited by 926

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

Open access
Handcock, Mark S., Hunter, David R., Butts, Carter T., Goodreau, Steven M., Morris, Martina·2008·Journal of Statistical Software
DOI 10.18637/jss.v024.i01
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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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Metadata

Authors
Handcock, M. S., Hunter, D. R., Butts, C. T., Goodreau, S. M., & Morris, M.
Venue
Journal of Statistical Software
Publisher
Foundation for Open Access Statistic
Published
2008
Volume
24
Issue
1
Pages
1548-7660
ISSN
1548-7660 (ISSN-L)
DOI
10.18637/jss.v024.i01
OpenAlex
W2168322240
Cited by
926
References
0
FWCI
24.09
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data. https://app.cochat.ai/papers/10.18637/jss.v024.i01
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Handcock, M. S., Hunter, D. R., Butts, C. T., Goodreau, S. M., & Morris, M. (2008). statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data. Journal of Statistical Software. https://doi.org/10.18637/jss.v024.i01

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.