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Statnet | Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data

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Allows users to analyze statistical network. Statnet is a software which is available both as a R package and as a web application. It supplies a framework for exponential-family random graph models (ERGM)-based network modeling: tools for model estimation, evaluation and model-based network simulation. The software can be run for evaluating if a model can be considered as degenerated.

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Statnet forum

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Statnet classification

Statnet specifications

Unique identifier:
OMICS_23629
Interface:
Web user interface
License:
GNU General Public License version 3.0
Stability:
Stable
Maintained:
Yes
Alternative name:
statnetWeb
Restrictions to use:
None
Computer skills:
Basic
Source code URL:
https://cran.r-project.org/src/contrib/statnet_2016.9.tar.gz

Subtools

  • ergm
  • tergm

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Statnet classification

Statnet specifications

Unique identifier:
OMICS_23629
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Stability:
Stable
Maintained:
Yes
Alternative name:
statnetWeb
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 3.0
Version:
2016.9
Source code URL:
https://cran.r-project.org/src/contrib/statnet_2016.9.tar.gz

Subtools

  • ergm
  • tergm

Statnet distribution

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Statnet support

Documentation

Maintainers

  • Martina Morris <>
  • Mark Handcock <>
  • Martina Morris <>
  • Mark Handcock <>

Additional information

https://statnet.shinyapps.io/statnetWeb/ https://statnet.org/ https://github.com/statnet/statnetWeb

Credits

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Publications

Institution(s)

Department of Statistics, University of Washington, Seattle, WA, USA; Department of Statistics, PennState University, PA, USA; Institute for Mathematical Behavioral Sciences, University of California, Irvine, CA, USA; University of Washington, Seattle, WA, USA

Funding source(s)

Supported by two grants from the National Institutes of Health (R01-HD041877, R01-DA012831), an additional funding from Le Studium, an agency of the Centre National de la Recherche Scientifique of France, and NIH grant R01-GM083603-01.

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