Overlapping Community Detection

Overlapping Community Detection is a community detection paradigm that identifies communities in complex networks where nodes may belong to multiple communities simultaneously, thereby generalizing traditional partition-based methods by allowing shared membership across communities.

434

Publications

32.7K

Citations

1.1K

Authors

469

Institutions

Publications per year

2017–2026

169

Authors

1.1K

  1. DJ
    Di Jin

    Tianjin University, China

    9 publications · 365 citations

    9

    h-index

  2. JL
    Jure Leskovec

    Stanford University, United States

    8 publications · 3.6K citations

    8

    h-index

  3. BK
    Bolesław K. Szymański

    Rensselaer Polytechnic Institute, United States

    8 publications · 783 citations

    8

    h-index

  4. DH
    Dongxiao He

    Tianjin University, China

    7 publications · 300 citations

    7

    h-index

  5. XZ
    Xingyi Zhang

    Anhui University, China

    7 publications · 425 citations

    7

    h-index

1–5 of 1.1K

Venues

  1. 21

    h-index

  2. arXiv (Cornell University)

    Repository · 28 publications · 1.4K citations

    19

    h-index

  3. Physical Review E

    PRE · 14 publications · 3.7K citations

    14

    h-index

  4. Knowledge-Based Systems

    10 publications · 344 citations

    10

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 10 publications · 717 citations

    10

    h-index

1–5