ig.degree.betweenness: "Node+Edge Betweenness Community Detection Algorithm for
'igraph' Objects"
Implements the "Node + Edge Betweenness" 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 implementation of the
algorithm, visualization, and analysis of the resulting community
structure along with the original dataset used in the publication.
Methods are based on results from Smith, Pittman and Xu (2026)
<doi:10.1002/cjs.70060>.
| Version: |
0.2.1 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
BBmisc, dplyr, ggplot2, igraph, igraphdata, lifecycle, qgraph, rlist, stats, tibble, tidyr |
| Published: |
2026-06-17 |
| 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,
https://benyamindsmith.github.io/ig.degree.betweenness/ |
| NeedsCompilation: |
no |
| Citation: |
ig.degree.betweenness citation info |
| CRAN checks: |
ig.degree.betweenness results |
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