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The Scientific World Journal
Volume 2014 (2014), Article ID 402345, 22 pages
http://dx.doi.org/10.1155/2014/402345
Research Article

Decomposition-Based Multiobjective Evolutionary Algorithm for Community Detection in Dynamic Social Networks

Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an 710071, China

Received 21 October 2013; Accepted 22 December 2013; Published 2 March 2014

Academic Editors: Z. Cui and X. Yang

Copyright © 2014 Jingjing Ma et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • Xu Zhou, Yanheng Liu, Bin Li, and Geng Sun, “Multiobjective biogeography based optimization algorithm with decomposition for community detection in dynamic networks,” Physica A-Statistical Mechanics And Its Applications, vol. 436, pp. 430–442, 2015. View at Publisher · View at Google Scholar
  • Pooya Moradian Zadeh, and Ziad Kobti, “A Multi-Population Cultural Algorithm for Community Detection in Social Networks,” Procedia Computer Science, vol. 52, pp. 342–349, 2015. View at Publisher · View at Google Scholar
  • Mohammad Ebrahim Samie, and Ali Hamzeh, “Community detection in dynamic social networks: A local evolutionary approach,” Journal of Information Science, vol. 43, no. 5, pp. 615–634, 2016. View at Publisher · View at Google Scholar
  • Xu Zhou, Yanheng Liu, Bin Li, and Han Li, “A multiobjective discrete cuckoo search algorithm for community detection in dynamic networks,” Soft Computing, vol. 21, no. 22, pp. 6641–6652, 2016. View at Publisher · View at Google Scholar
  • Bara'a A. Attea, and Haidar S. Khoder, “A new multi-objective evolutionary framework for community mining in dynamic social networks,” Swarm and Evolutionary Computation, vol. 31, pp. 90–109, 2016. View at Publisher · View at Google Scholar
  • M. E. Samie, and A. Hamzeh, “Change-aware community detection approach for dynamic social networks,” Applied Intelligence, 2017. View at Publisher · View at Google Scholar
  • Andreas Konstantinidis, Savvas Pericleous, and Christoforos Charalambous, “Meta-Lamarckian learning in multi-objective optimization for mobile social network search,” Applied Soft Computing, vol. 67, pp. 70–93, 2018. View at Publisher · View at Google Scholar