Arlclustering: an R package for community detection in social networks based on user interaction and association rule learning

Arlclustering: an R package for community detection in social networks based on user interaction and association rule learning

Abstract ARLClustering is an open-source R package for community detection in social networks. Unlike traditional methods that rely on structural properties such as modularity, degree centrality, and clustering coefficient, ARLClustering leverages association rule mining (ARM) to identify meaningful...

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Bibliographic Details
Main Authors: Mohamed El-Moussaoui, Mohamed Hanine, Ali Kartit, Tarik Agouti
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Applied Network Science
Subjects:
Social networks analysis
Community detection
Association rules
Clustering
ARLClustering
Online Access:https://doi.org/10.1007/s41109-025-00715-w
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https://doi.org/10.1007/s41109-025-00715-w

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