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ig.degree.betweenness

"Smith-Pittman Community Detection Algorithm for 'igraph' Objects (2024)"

v0.2.0 · Jun 24, 2025 · MIT + file LICENSE

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>.

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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies igraph igraphdata rlist BBmisc qgraph dplyr tibble tidyr ggplot2 ig.degree.betweenness

Version History

new 0.2.0 Mar 10, 2026
updated 0.2.0 ← 0.1.1 diff Jun 23, 2025
updated 0.1.1 ← 0.1.0 diff Mar 10, 2025
new 0.1.0 Nov 10, 2024