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An efficient agent-based algorithm for overlapping community detection using nodes’ closeness

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  • Badie, Reza
  • Aleahmad, Abolfazl
  • Asadpour, Masoud
  • Rahgozar, Maseud

Abstract

Communities are groups of nodes forming tightly connected units in networks. Some nodes can be shared between different communities of a network. The presence of overlapping nodes and their associated membership diversity is a common characteristic of social networks. Analyzing these overlapping structures can reveal valuable information about the intrinsic features of realistic complex networks, especially social networks.

Suggested Citation

  • Badie, Reza & Aleahmad, Abolfazl & Asadpour, Masoud & Rahgozar, Maseud, 2013. "An efficient agent-based algorithm for overlapping community detection using nodes’ closeness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 5231-5247.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:20:p:5231-5247
    DOI: 10.1016/j.physa.2013.06.056
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    References listed on IDEAS

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    Cited by:

    1. Garza, Sara E. & Schaeffer, Satu Elisa, 2019. "Community detection with the Label Propagation Algorithm: A survey," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    2. Zhang, Zhiwei & Wang, Zhenyu, 2015. "Mining overlapping and hierarchical communities in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 25-33.

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