A Comparative Study of Overlapping Community Detection Algorithms in Social Networks
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Date
2025-06-15
Journal Title
Journal ISSN
Volume Title
Publisher
Mohamed Boudiaf University of M'sila
Abstract
Many real-world complex systems can be modeled as social networks, which reveal impor tant features such as overlapping communities. Overlapping communities reflect the multiple
memberships and interconnections of elements within the network, with wide applications in
social behavior analysis, recommendation systems, and cybersecurity. This research provides
a comprehensive comparative study of overlapping community detection algorithms, clarify ing their concepts, classifications, and challenges. We conduct experimental evaluations of
prominent algorithms on real and synthetic datasets using standard evaluation metrics. The
study aims to offer recommendations for choosing the best algorithm depending on the ap plication context and network type
Description
Keywords
Overlapping Communities, Community Detection, Social Networks, Graph Theory, Algorithms, Comparative Evaluation