Fitness Models

Fitness Models is a theoretical framework in network science that extends the preferential attachment mechanism by assigning each node an intrinsic fitness value, thereby determining its ability to attract new links independently of its current degree, and enabling the modeling of competitive dynamics in the evolution of scale-free networks.

265

Publications

16.8K

Citations

692

Authors

368

Institutions

Publications per year

2017–2026

73

Authors

692

  1. GC
    Guido Caldarelli

    IMT School for Advanced Studies Lucca, Italy

    4 publications · 1.2K citations

    4

    h-index

  2. GB
    Ginestra Bianconi

    Queen Mary University of London, United Kingdom

    4 publications · 1.2K citations

    4

    h-index

  3. LF
    Luca Ferretti

    University of Oxford, United Kingdom

    3 publications · 71 citations

    3

    h-index

  4. PT
    Pan Tan

    Shanghai Jiao Tong University, China

    2 publications · 108 citations

    2

    h-index

  5. PT
    Peter Taylor

    Queen's University, Canada

    2 publications · 152 citations

    2

    h-index

1–5 of 692

Venues

  1. The American Naturalist

    AN · 17 publications · 1.4K citations

    15

    h-index

  2. Evolution

    7 publications · 1.3K citations

    8

    h-index

  3. Physical Review E

    PRE · 7 publications · 386 citations

    7

    h-index

  4. 5

    h-index

  5. Scientific Reports

    5 publications · 138 citations

    5

    h-index

1–5