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arlclustering: Exploring Social Network Structures Through Friendship-Driven Community Detection with Association Rules Mining

Implements an innovative approach to community detection in social networks using Association Rules Learning. The package provides tools for processing graph and rules objects, generating association rules, and detecting communities based on node interactions. Designed to facilitate advanced research in Social Network Analysis, this package leverages association rules learning for enhanced community detection. This approach is described in El-Moussaoui et al. (2021) <doi:10.1007/978-3-030-66840-2_3>.

Version: 1.0.5
Imports: methods, igraph, arules, grDevices, graphics, stats
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, tidyr
Published: 2024-09-11
DOI: 10.32614/CRAN.package.arlclustering
Author: Mohamed El-Moussaoui [aut, cre], Mohamed Hanine [aut], Ali Kartit [ths], Tarik Agouti [rev]
Maintainer: Mohamed El-Moussaoui <med.elmoussaoui.ced at gmail.com>
BugReports: https://github.com/assuom44/arlclustering/issues
License: GPL-3
URL: https://github.com/assuom44/arlclustering
NeedsCompilation: no
Materials: README
CRAN checks: arlclustering results

Documentation:

Reference manual: arlclustering.pdf
Vignettes: ARLClustering - Testing Dolphins dataset (source, R code)
ARLClustering - Testing Facebook Friends dataset (source, R code)
ARLClustering - Testing Facebook L1 Organization dataset (source, R code)
ARLClustering - General Introduction (source, R code)
ARLClustering - Testing Karate dataset (source, R code)
ARLClustering - Testing LesMiserables dataset (source, R code)
ARLClustering - Testing NetScience dataset (source, R code)
ARLClustering - Testing WordAdjacency dataset (source, R code)

Downloads:

Package source: arlclustering_1.0.5.tar.gz
Windows binaries: r-devel: arlclustering_1.0.5.zip, r-release: arlclustering_1.0.5.zip, r-oldrel: arlclustering_1.0.5.zip
macOS binaries: r-release (arm64): arlclustering_1.0.5.tgz, r-oldrel (arm64): arlclustering_1.0.5.tgz, r-release (x86_64): arlclustering_1.0.5.tgz, r-oldrel (x86_64): arlclustering_1.0.5.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.