Communicability Centrality

Communicability Centrality is a node-level centrality measure in network analysis that quantifies the influence of a node based on the sum of weighted walks of all lengths starting and ending at that node, where weights are derived from the exponential of the adjacency matrix.

14

Publications

1.2K

Citations

36

Authors

27

Institutions

Publications per year

2017–2026

7

Authors

36

  1. EE
    Ernesto Estrada

    Universidade de Santiago de Compostela, Spain

    5 publications · 1K citations

    5

    h-index

  2. DJ
    Desmond J. Higham

    University of Strathclyde, United Kingdom

    2 publications · 218 citations

    2

    h-index

  3. MB
    Michele Benzi

    Emory University, United States

    2 publications · 59 citations

    2

    h-index

  4. YX
    Ying Xu

    Xinjiang University of Finance and Economics, China

    1 publications · 12 citations

    1

    h-index

  5. GZ
    Guojing Zhang

    Northeast Normal University, China

    1 publications · 13 citations

    1

    h-index

1–5 of 36

Venues

  1. 2

    h-index

  2. Physical Review E

    PRE · 2 publications · 972 citations

    2

    h-index

  3. Journal of Digital Information Management

    JDIM · 1 publications · 27 citations

    1

    h-index

  4. Network Neuroscience

    NetNeuro · 1 publications · 21 citations

    1

    h-index

  5. 1

    h-index

1–5