Scale-free Network Modeling

Scale-Free Network Modeling is a network modeling approach that belongs to the class of topological models used in gene coexpression network analysis, distinguished by its specific assumption that the distribution of node connectivity follows a power-law, reflecting the biological reality that a small number of genes (hubs) exhibit high connectivity while most genes have few connections.

591

Publications

39.6K

Citations

1.4K

Authors

638

Institutions

Publications per year

2017–2026

128

Authors

1.4K

  1. BW
    Bing-Hong Wang

    University of Science and Technology of China, China

    19 publications · 1.6K citations

    15

    h-index

  2. TZ
    Tao Zhou

    University of Electronic Science and Technology of China, China

    14 publications · 1.1K citations

    13

    h-index

  3. BK
    B. Kahng

    Seoul National University, South Korea

    11 publications · 1.1K citations

    11

    h-index

  4. ZZ
    Zhongzhi Zhang

    Fudan University, China

    10 publications · 273 citations

    10

    h-index

  5. SH
    Shlomo Havlin

    Bar-Ilan University, Israel

    8 publications · 427 citations

    8

    h-index

1–5 of 1.4K

Venues

  1. Physical Review E

    PRE · 74 publications · 5.2K citations

    36

    h-index

  2. 26

    h-index

  3. Physical Review Letters

    PRL · 17 publications · 2.8K citations

    17

    h-index

  4. Europhysics Letters (EPL)

    20 publications · 1.3K citations

    17

    h-index

  5. Scientific Reports

    17 publications · 659 citations

    16

    h-index

1–5