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ig.degree.betweenness  

"Smith-Pittman Community Detection Algorithm for 'igraph' Objects (2024)"
View on CRAN: Click here


Download and install ig.degree.betweenness package within the R console
Install from CRAN:
install.packages("ig.degree.betweenness")

Install from Github:
library("remotes")
install_github("cran/ig.degree.betweenness")

Install by package version:
library("remotes")
install_version("ig.degree.betweenness", "0.1.0")



Attach the package and use:
library("ig.degree.betweenness")
Maintained by
Benjamin Smith
[Scholar Profile | Author Map]
First Published: 2024-11-11
Latest Update: 2024-11-11
Description:
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>.
How to cite:
Benjamin Smith (2024). ig.degree.betweenness: "Smith-Pittman Community Detection Algorithm for 'igraph' Objects (2024)". R package version 0.1.0, https://cran.r-project.org/web/packages/ig.degree.betweenness. Accessed 17 Feb. 2025.
Previous versions and publish date:
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