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ig.degree.betweenness: "Smith-Pittman Community Detection Algorithm for 'igraph' Objects (2024)"

Implements the "Smith-Pittman" community detection algorithm for network analysis using 'igraph' objects. This algorithm combines node degree and betweenness centrality measures to identify communities within networks, with a gradient evident in social partitioning. The package provides functions for community detection, visualization, and analysis of the resulting community structure. Methods are based on results from Smith, Pittman and Xu (2024) <doi:10.48550/arXiv.2411.01394>.

Version: 0.1.0
Imports: igraph, igraphdata, rlist, BBmisc, qgraph
Suggests: knitr, rmarkdown
Published: 2024-11-11
DOI: 10.32614/CRAN.package.ig.degree.betweenness
Author: Benjamin Smith ORCID iD [aut, cre], Tyler Pittman ORCID iD [aut], Wei Xu ORCID iD [aut]
Maintainer: Benjamin Smith <benyamin.smith at mail.utoronto.ca>
BugReports: https://github.com/benyamindsmith/ig.degree.betweenness/issues
License: MIT + file LICENSE
URL: https://github.com/benyamindsmith/ig.degree.betweenness
NeedsCompilation: no
CRAN checks: ig.degree.betweenness results

Documentation:

Reference manual: ig.degree.betweenness.pdf

Downloads:

Package source: ig.degree.betweenness_0.1.0.tar.gz
Windows binaries: r-devel: ig.degree.betweenness_0.1.0.zip, r-release: ig.degree.betweenness_0.1.0.zip, r-oldrel: ig.degree.betweenness_0.1.0.zip
macOS binaries: r-release (arm64): ig.degree.betweenness_0.1.0.tgz, r-oldrel (arm64): ig.degree.betweenness_0.1.0.tgz, r-release (x86_64): ig.degree.betweenness_0.1.0.tgz, r-oldrel (x86_64): ig.degree.betweenness_0.1.0.tgz

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.