Motif Classification

Motif Classification is a method in network science that distinguishes recurring, statistically significant subgraph patterns within complex networks by categorizing them according to their structural and functional roles.

67

Publications

10.1K

Citations

213

Authors

123

Institutions

Publications per year

2017–2026

19

Authors

213

  1. GM
    Giovanni Micale

    University of Catania, Italy

    2 publications · 34 citations

    2

    h-index

  2. FA
    Francisco A. Rodrigues

    Universidade de São Paulo, Brazil

    2 publications · 37 citations

    2

    h-index

  3. AF
    Alfredo Ferro

    University of Catania, Italy

    2 publications · 34 citations

    2

    h-index

  4. VB
    Vincenzo Bonnici

    University of Verona, Italy

    2 publications · 34 citations

    2

    h-index

  5. MH
    Martin Harrigan

    University College Dublin, Ireland

    2 publications · 37 citations

    2

    h-index

1–5 of 213

Venues

  1. PLoS ONE

    3 publications · 85 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 125 citations

    3

    h-index

  3. Nucleic Acids Research

    2 publications · 53 citations

    2

    h-index

  4. Scientific Reports

    2 publications · 56 citations

    2

    h-index

  5. Briefings in Bioinformatics

    2 publications · 257 citations

    2

    h-index

1–5