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: |
0.2.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
igraph, igraphdata, rlist, BBmisc, qgraph, dplyr, tibble, tidyr, ggplot2 |
| Suggests: |
knitr, rmarkdown |
| Published: |
2025-06-24 |
| DOI: |
10.32614/CRAN.package.ig.degree.betweenness |
| Author: |
Benjamin Smith 
[aut, cre],
Tyler Pittman
[aut],
Wei Xu [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 |
| Citation: |
ig.degree.betweenness citation info |
| CRAN checks: |
ig.degree.betweenness results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=ig.degree.betweenness
to link to this page.