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• W2303409585 abstract "Community is one prominent feature of complex networks. Community detection is one important research topic in the area of complex networks analysis. In this paper, we introduce a new heuristic algorithm for community detection using the popular modularity measure. The proposed algorithm, called CNTS for combined neighborhood tabu search (CNTS), relies on a joint use of vertex move and merge operators to improve the quality of visited solutions. A dedicated tabu mechanism provides the algorithm with additional capacities to effectively explore the search space. Experiments using a collection of 21 well-known benchmark instances show that the proposed algorithm competes favorably with state-of-the-art algorithms." @default.
• W2303409585 created "2016-06-24" @default.
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• W2303409585 date "2016-03-21" @default.
• W2303409585 modified "2023-09-26" @default.
• W2303409585 title "Combined neighborhood tabu search for community detection in complex networks" @default.
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• W2303409585 doi "https://doi.org/10.1051/ro/2015046" @default.
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