A Comparative Study of Overlapping Community Detection Algorithms in Social Networks

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dc.contributor.authorWiam, Chami
dc.contributor.authorImane, Radja
dc.contributor.authorSupervisor: Bilal, LOUNNAS
dc.date.accessioned2025-07-08T07:39:13Z
dc.date.available2025-07-08T07:39:13Z
dc.date.issued2025-06-15
dc.description.abstractMany 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
dc.identifier.urihttps://repository.univ-msila.dz/handle/123456789/46732
dc.language.isoen
dc.publisherMohamed Boudiaf University of M'sila
dc.subjectOverlapping Communities
dc.subjectCommunity Detection
dc.subjectSocial Networks
dc.subjectGraph Theory
dc.subjectAlgorithms
dc.subjectComparative Evaluation
dc.titleA Comparative Study of Overlapping Community Detection Algorithms in Social Networks
dc.typeThesis

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