Flow Centrality

Flow Centrality is a network centrality measure that quantifies the extent to which a node controls the flow of resources or information in a network by evaluating its participation in all possible source-target paths, weighted by the maximum flow that can be routed between pairs of nodes.

15

Publications

853

Citations

162

Authors

39

Institutions

Publications per year

2017–2026

5

Authors

162

  1. ML
    Martin Lames

    Technical University of Munich, Germany

    2 publications · 69 citations

    2

    h-index

  2. FK
    Florian Korte

    Technical University of Munich, Germany

    2 publications · 69 citations

    2

    h-index

  3. ZL
    Zhe‐Ming Lu

    Zhejiang University, China

    1 publications · 11 citations

    1

    h-index

  4. JB
    J. Bartke

    European Organization for Nuclear Research, Switzerland

    1 publications · 38 citations

    1

    h-index

  5. JW
    John William Harris

    European Organization for Nuclear Research, Switzerland

    1 publications · 38 citations

    1

    h-index

1–5 of 162

Venues

  1. 2

    h-index

  2. Reliability Engineering & System Safety

    1 publications · 72 citations

    1

    h-index

  3. Frontiers in Psychology

    1 publications · 32 citations

    1

    h-index

  4. Journal of Human Kinetics

    1 publications · 37 citations

    1

    h-index

  5. IEICE Transactions on Information and Systems

    1 publications · 11 citations

    1

    h-index

1–5