Network Centrality

Network Centrality is a quantitative measure in graph theory and network biology that assigns a scalar value to each node in an ecological or biological network to characterize its structural importance or influence based on features of the network’s topology such as connectivity, position on interaction pathways, or proximity to other nodes.

5.1K

Publications

536.7K

Citations

12.3K

Authors

3.3K

Institutions

Publications per year

2017–2026

2.1K

Authors

12.3K

  1. YD
    Yong Deng

    University of Electronic Science and Technology of China, China

    35 publications · 2.9K citations

    30

    h-index

  2. ME
    M. E. J. Newman

    University of Michigan, United States

    21 publications · 25.2K citations

    20

    h-index

  3. SP
    Stephen P. Borgatti

    University of Kentucky, United States

    19 publications · 12.7K citations

    19

    h-index

  4. JL
    Jian-Guo Liu

    University of Shanghai for Science and Technology, China

    19 publications · 1.2K citations

    17

    h-index

  5. JL
    Jure Leskovec

    Stanford University, United States

    17 publications · 10.9K citations

    17

    h-index

1–5 of 12.3K

Venues

  1. Physical Review E

    PRE · 112 publications · 20.5K citations

    66

    h-index

  2. Social Networks

    112 publications · 48.1K citations

    66

    h-index

  3. Physica A Statistical Mechanics and its Applications

    239 publications · 18.7K citations

    63

    h-index

  4. PLoS ONE

    164 publications · 14.5K citations

    58

    h-index

  5. Scientific Reports

    131 publications · 8.6K citations

    49

    h-index

1–5