ma-CODE: a multi-phase approach on community detection in evolving networks

DOI10.1016/J.INS.2021.02.068OpenAlexW3134059349MaRDI QIDQ6092020

Vijayakumar Varadaranjan, Ramalingham Shanmugam, Keshab Nath

Publication date: 23 November 2023

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2021.02.068

zbMATH Keywords

community detectionlabel propagationnode similarityhub-node variancemulti-phase algorithm

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Social networks; opinion dynamics (91D30) Small world graphs, complex networks (graph-theoretic aspects) (05C82) Graph theory (including graph drawing) in computer science (68R10) Pattern recognition, speech recognition (68T10)

Cites Work

• Learning robust affinity graph representation for multi-view clustering
• Introduction to Information Retrieval
• Well-Separated Clusters and Optimal Fuzzy Partitions
• Iterative Local-Global Collaboration Learning Towards One-Shot Video Person Re-Identification
• Finding overlapping communities in networks by label propagation
• Fast unfolding of communities in large networks

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