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Overlapping communities and the prediction of missing links in multiplex networks

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  • Abdolhosseini-Qomi, Amir Mahdi
  • Yazdani, Naser
  • Asadpour, Masoud

Abstract

Multiplex networks are a representation of real-world complex systems as a set of entities (i.e. nodes) connected via different types of connections (i.e. layers). The observed connections in these networks may not be complete and the link prediction task is about locating the missing links across layers. Here, the main challenge is about collecting relevant evidence from different layers to assist the link prediction task.

Suggested Citation

  • Abdolhosseini-Qomi, Amir Mahdi & Yazdani, Naser & Asadpour, Masoud, 2020. "Overlapping communities and the prediction of missing links in multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    • Handle: RePEc:eee:phsmap:v:554:y:2020:i:c:s0378437120303174
    DOI: 10.1016/j.physa.2020.124650
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    References listed on IDEAS

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    Cited by:

    1. Liang, Bo & Wang, Lin & Wang, Xiaofan, 2022. "OLMNE+FT: Multiplex network embedding based on overlapping links," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).

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