Package: arlclustering
Type: Package
Title: Exploring Social Network Structures Through Friendship-Driven
        Community Detection with Association Rules Mining
Version: 1.0.5
Authors@R: c( person(
                given = "Mohamed",
                family = "El-Moussaoui",
                role = c("aut", "cre"),
                email = "med.elmoussaoui.ced@gmail.com"),
              person(
                given = "Mohamed",
                family = "Hanine",
                role = "aut" ),
              person(
                given = "Ali",
                family = "Kartit",
                role = "ths"),
              person(
                given = "Tarik",
                family = "Agouti",
                role = "rev" ))
Maintainer: Mohamed El-Moussaoui <med.elmoussaoui.ced@gmail.com>
Description: 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>.
License: GPL-3
URL: https://github.com/assuom44/arlclustering
BugReports: https://github.com/assuom44/arlclustering/issues
LazyLoad: false
Encoding: UTF-8
RoxygenNote: 7.2.3
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, tidyr
Imports: methods, igraph, arules, grDevices, graphics, stats
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-08 23:12:38 UTC; wadii
Author: Mohamed El-Moussaoui [aut, cre],
  Mohamed Hanine [aut],
  Ali Kartit [ths],
  Tarik Agouti [rev]
Repository: CRAN
Date/Publication: 2024-09-11 15:00:02 UTC
Built: R 4.6.0; ; 2026-04-26 02:41:00 UTC; unix
