Multilayer Community Detection

Multilayer Community Detection is a community detection framework that extends traditional single-layer network analysis by identifying cohesive subgroups across multiple interconnected layers of relationships, where each layer represents a distinct type or mode of interaction among the same set of entities.

56

Publications

2.3K

Citations

186

Authors

132

Institutions

Publications per year

2017–2026

48

Authors

186

  1. MR
    Martin Rosvall

    Umeå University, Sweden

    2 publications · 102 citations

    2

    h-index

  2. LA
    Laura Astolfi

    Sapienza University of Rome, Italy

    2 publications · 49 citations

    2

    h-index

  3. MP
    Manuela Petti

    Sapienza University of Rome, Italy

    2 publications · 49 citations

    2

    h-index

  4. DT
    Dane Taylor

    University at Buffalo, State University of New York, United States

    2 publications · 116 citations

    2

    h-index

  5. MY
    Mehmet Yildirimoḡlu

    The University of Queensland, Australia

    2 publications · 133 citations

    2

    h-index

1–5 of 186

Venues

  1. PLoS ONE

    4 publications · 183 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 59 citations

    4

    h-index

  3. Data Mining and Knowledge Discovery

    2 publications · 264 citations

    2

    h-index

  4. The Annals of Statistics

    2 publications · 90 citations

    2

    h-index

  5. Nature Communications

    1 publications · 17 citations

    1

    h-index

1–5