Centrality-based Network Analysis

Centrality-Based Network Analysis is a network analysis approach that, as a distinct methodological framework, focuses on quantifying the relative importance of nodes within a network through centrality measures to identify structurally influential entities.

761

Publications

67.2K

Citations

2.1K

Authors

986

Institutions

Publications per year

2017–2026

408

Authors

2.1K

  1. YD
    Yong Deng

    University of Electronic Science and Technology of China, China

    14 publications · 1.2K citations

    14

    h-index

  2. FM
    Filipe Manuel Clemente

    Polytechnic Institute of Viana do Castelo, Portugal

    5 publications · 147 citations

    5

    h-index

  3. EE
    Ernesto Estrada

    Universidade de Santiago de Compostela, Spain

    5 publications · 1.8K citations

    5

    h-index

  4. LT
    Leandro Tortosa

    University of Alicante, Spain

    5 publications · 195 citations

    5

    h-index

  5. JF
    José F. Vicent

    University of Alicante, Spain

    5 publications · 195 citations

    5

    h-index

1–5 of 2.1K

Venues

  1. 32

    h-index

  2. Chaos Solitons & Fractals

    19 publications · 1K citations

    18

    h-index

  3. PLoS ONE

    16 publications · 1.3K citations

    14

    h-index

  4. Scientific Reports

    12 publications · 1.3K citations

    12

    h-index

  5. Social Networks

    11 publications · 7.2K citations

    11

    h-index

1–5