Network Motif Analysis

Network Motif Analysis is a graph mining technique that identifies statistically significant subgraph patterns recurrent in a network more frequently than expected by chance, distinguishing it from other structural analysis methods by focusing on the overrepresentation of specific topological configurations as indicators of functional modules.

153

Publications

13.3K

Citations

420

Authors

246

Institutions

Publications per year

2017–2026

42

Authors

420

  1. FS
    Fernando Silva

    Universidade do Porto, Portugal

    5 publications · 225 citations

    5

    h-index

  2. MH
    Martin Harrigan

    University College Dublin, Ireland

    5 publications · 118 citations

    5

    h-index

  3. PR
    Pedro Ribeiro

    Universidade do Porto, Portugal

    5 publications · 225 citations

    5

    h-index

  4. PC
    Pádraig Cunningham

    University College Dublin, Ireland

    5 publications · 118 citations

    5

    h-index

  5. AM
    Ali Masoudi‐Nejad

    University of Tehran, Iran

    4 publications · 444 citations

    4

    h-index

1–5 of 420

Venues

  1. Bioinformatics

    7 publications · 2.2K citations

    7

    h-index

  2. PLoS ONE

    6 publications · 209 citations

    6

    h-index

  3. BMC Systems Biology

    6 publications · 190 citations

    6

    h-index

  4. arXiv (Cornell University)

    Repository · 5 publications · 131 citations

    5

    h-index

  5. Physical Review E

    PRE · 5 publications · 305 citations

    5

    h-index

1–5