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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=arlclustering to link to this page.
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