Package: ig.degree.betweenness 0.2.0
Benjamin Smith
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 (2024) <doi:10.48550/arXiv.2411.01394>.
Authors:
ig.degree.betweenness_0.2.0.tar.gz
ig.degree.betweenness_0.2.0.zip(r-4.7)ig.degree.betweenness_0.2.0.zip(r-4.6)ig.degree.betweenness_0.2.0.zip(r-4.5)
ig.degree.betweenness_0.2.0.tgz(r-4.6-any)ig.degree.betweenness_0.2.0.tgz(r-4.5-any)
ig.degree.betweenness_0.2.0.tar.gz(r-4.7-any)ig.degree.betweenness_0.2.0.tar.gz(r-4.6-any)
ig.degree.betweenness_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ig.degree.betweenness/json (API)
| # Install 'ig.degree.betweenness' in R: |
| install.packages('ig.degree.betweenness', repos = c('https://benyamindsmith.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/benyamindsmith/ig.degree.betweenness/issues
Pkgdown/docs site:https://benyamindsmith.github.io
- oncology_network - Oncology Clinical Trial Referral Network
community-detection-algorithmsigraph
Last updated from:4731708a38. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 161 | ||
| source / vignettes | OK | 201 | ||
| linux-release-x86_64 | OK | 143 | ||
| macos-release-arm64 | OK | 139 | ||
| macos-oldrel-arm64 | OK | 157 | ||
| windows-devel | OK | 103 | ||
| windows-release | OK | 98 | ||
| windows-oldrel | OK | 87 | ||
| wasm-release | OK | 140 |
Exports:cluster_degree_betweennessdegree_balancelcd_graphlcd_graph_alternatinglcd_graph_bidirectionallcd_graph_mixedplot_node_degreesplot_simplified_edgeplotprep_unlabeled_graph
Dependencies:abindbackportsbase64encBBmiscbslibcachemcheckmatecliclustercolorspacecorpcorcpp11data.tabledigestdplyrevaluatefarverfastmapfdrtoolfontawesomeforeignFormulafsgenericsggplot2glassoglueGPArotationgridExtragtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetsigraphigraphdataisobandjpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclemagrittrMASSMatrixmemoisemimemnormtnlmennetnumDerivpbapplypbivnormpillarpkgconfigplyrpngpsychpurrrqgraphquadprogR6rappdirsRColorBrewerRcppreshape2rlangrlistrmarkdownrpartrstudioapiS7sassscalesstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunXMLyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Community structure detection based on node degree centrality and edge betweenness | cluster_degree_betweenness |
| Analyze Degree Balance of a Graph | degree_balance |
| Generate Linearized Chord Diagram (LCD) Graphs | lcd_graph lcd_graphs lcd_graph_alternating lcd_graph_bidirectional lcd_graph_mixed |
| Oncology Clinical Trial Referral Network | oncology_network |
| Visualize Node Degree Distribution in a Network Graph | plot_node_degrees |
| Plot Simplified Edgeplot | plot_simplified_edgeplot |
| Prepared Unlabeled Graph to work with Degree-Betweenness Algorithm | prep_unlabeled_graph |