Graph-based Connectivity Models

Graph-Based Connectivity Models is a formal framework that employs graph theory to represent and analyze the structural and functional relationships within a network by modeling entities as vertices and their interconnections as edges, distinguished by its emphasis on topological properties and connectivity metrics derived from graph-theoretic algorithms.

45

Publications

2.1K

Citations

156

Authors

86

Institutions

Publications per year

2017–2026

17

Authors

156

  1. SM
    Sunil Mathew

    National Institute of Technology Calicut, India

    2 publications · 35 citations

    2

    h-index

  2. JL
    Jure Leskovec

    Stanford University, United States

    2 publications · 97 citations

    2

    h-index

  3. MK
    Myunghwan Kim

    Ajou University, South Korea

    2 publications · 97 citations

    2

    h-index

  4. DM
    Diana Maynard

    University of Sheffield, United Kingdom

    1 publications · 14 citations

    1

    h-index

  5. DF
    Donatella Firmani

    Roma Tre University, Italy

    1 publications · 13 citations

    1

    h-index

1–5 of 156

Venues

  1. Clinical Neurophysiology

    2 publications · 57 citations

    2

    h-index

  2. Sustainability

    2 publications · 26 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 97 citations

    2

    h-index

  4. Discrete Applied Mathematics

    2 publications · 87 citations

    2

    h-index

  5. ArXiv.org

    Repository · 2 publications · 279 citations

    2

    h-index

1–5