Scale-free Network Analysis

Scale-Free Network Analysis is a network analytic framework that characterizes ecological interaction networks by identifying and modeling the power-law distribution of node connectivity, distinguishing it from other network analyses through its focus on the prevalence of highly connected hubs and the implications of such topology for ecological stability, robustness, and inference.

291

Publications

17.2K

Citations

842

Authors

403

Institutions

Publications per year

2017–2026

78

Authors

842

  1. BW
    Bing-Hong Wang

    University of Science and Technology of China, China

    7 publications · 659 citations

    7

    h-index

  2. SH
    Shlomo Havlin

    Bar-Ilan University, Israel

    5 publications · 1K citations

    5

    h-index

  3. LA
    Luı́s A. Nunes Amaral

    Northwestern University, United States

    4 publications · 2.1K citations

    4

    h-index

  4. BK
    B. Kahng

    Seoul National University, South Korea

    4 publications · 437 citations

    4

    h-index

  5. GC
    Guido Caldarelli

    IMT School for Advanced Studies Lucca, Italy

    4 publications · 927 citations

    4

    h-index

1–5 of 842

Venues

  1. Physical Review E

    PRE · 32 publications · 1.9K citations

    21

    h-index

  2. 13

    h-index

  3. Physical Review Letters

    PRL · 12 publications · 2.6K citations

    12

    h-index

  4. Europhysics Letters (EPL)

    12 publications · 751 citations

    12

    h-index

  5. Chinese Physics Letters

    9 publications · 166 citations

    9

    h-index

1–5