Centrality Measures

Centrality Measures is a metric in network analysis that quantifies the relative importance or influence of a node within a social network based on its position and connectivity patterns.

1.9K

Publications

182.4K

Citations

9.4K

Authors

2.1K

Institutions

Publications per year

2017–2026

882

Authors

9.4K

  1. YD
    Yong Deng

    University of Electronic Science and Technology of China, China

    15 publications · 1.1K citations

    15

    h-index

  2. DJ
    Desmond J. Higham

    University of Strathclyde, United Kingdom

    11 publications · 605 citations

    11

    h-index

  3. KM
    Kathleen M. Carley

    Carnegie Mellon University, United States

    13 publications · 1.7K citations

    11

    h-index

  4. EE
    Ernesto Estrada

    Universidade de Santiago de Compostela, Spain

    11 publications · 1.2K citations

    11

    h-index

  5. LT
    Leandro Tortosa

    University of Alicante, Spain

    11 publications · 397 citations

    11

    h-index

1–5 of 9.4K

Venues

  1. Social Networks

    46 publications · 39.2K citations

    39

    h-index

  2. PLoS ONE

    63 publications · 6.4K citations

    37

    h-index

  3. Scientific Reports

    49 publications · 2.4K citations

    30

    h-index

  4. 29

    h-index

  5. Physical Review E

    PRE · 24 publications · 3.4K citations

    21

    h-index

1–5