Variable Neighborhood Search Approach to Community Detection Problem
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-32412-3_17
Reference24 articles.
1. Aloise, D., Caporossi, G., Hansen, P., Liberti, L., Perron, S., Ruiz, M.: Modularity maximization in networks by variable neighborhood search. Graph Partition. Graph Clust. 588, 113 (2012)
2. Bara’a, A.A., et al.: A review of heuristics and metaheuristics for community detection in complex networks: current usage, emerging development and future directions. Swarm Evol. Comput. 63, 100885 (2021)
3. Blondel, V.D., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech: Theory Exp. 2008(10), P10008 (2008)
4. Cai, Q., Gong, M., Shen, B., Ma, L., Jiao, L.: Discrete particle swarm optimization for identifying community structures in signed social networks. Neural Netw. 58, 4–13 (2014)
5. Cai, Q., Ma, L., Gong, M., Tian, D.: A survey on network community detection based on evolutionary computation. Int. J. Bio-Inspired Comput. 8(2), 84–98 (2016)
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