Community Filtering

Community Filtering is a computational method within the domain of community visualization that selectively identifies and prioritizes relevant community structures or constituent elements based on predefined relevance criteria, thereby distinguishing it from general community detection or aggregation techniques.

36

Publications

1.7K

Citations

123

Authors

61

Institutions

Publications per year

2017–2026

12

Authors

123

  1. AB
    AbbeEmmanuel

    1 publications · 25 citations

    1

    h-index

  2. YZ
    Yanchun Zhang

    Victoria University, Australia

    1 publications · 17 citations

    1

    h-index

  3. MG
    Maoguo Gong

    Xidian University, China

    1 publications · 48 citations

    1

    h-index

  4. LS
    Leilei Shi

    Jiangsu University, China

    1 publications · 12 citations

    1

    h-index

  5. AC
    Adam C. Algar

    University of Nottingham, United Kingdom

    1 publications · 61 citations

    1

    h-index

1–5 of 123

Venues

  1. Ecology

    3 publications · 89 citations

    3

    h-index

  2. Data Mining and Knowledge Discovery

    3 publications · 783 citations

    3

    h-index

  3. The European Physical Journal Special Topics

    EPJST · 1 publications · 27 citations

    1

    h-index

  4. Computers in Human Behavior

    1 publications · 11 citations

    1

    h-index

  5. User Modeling and User-Adapted Interaction

    1 publications · 33 citations

    1

    h-index

1–5