MDPCluster: a swarm-based community detection algorithm in large-scale graphs

DOI10.1007/S00607-019-00787-4zbMath1433.68340OpenAlexW3000704854MaRDI QIDQ1987200

Saeed Farzi, Mahsa Fozuni Shirjini, Amin Nikanjam

Publication date: 9 April 2020

Published in: Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00607-019-00787-4

zbMATH Keywords

swarm intelligencecommunity detectionparticle swarm optimizationlarge-scale graphsLouvain algorithm

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30) Evolutionary algorithms, genetic algorithms (computational aspects) (68W50) Small world graphs, complex networks (graph-theoretic aspects) (05C82) Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (1)

MDPCluster

Cites Work

• Unnamed Item
• Optimization by Simulated Annealing
• Graph clustering
• Evolutionary algorithm and modularity for detecting communities in networks
• A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem
• Fast unfolding of communities in large networks

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