Evolutionary Network Models

Evolutionary Network Models is a class of dynamic network models that capture the temporal development and structural change of networks over time through mechanisms such as node and edge addition, deletion, or reconfiguration, distinguished by their explicit incorporation of evolutionary processes grounded in principles of adaptation, selection, or incremental transformation.

313

Publications

18.7K

Citations

936

Authors

465

Institutions

Publications per year

2017–2026

85

Authors

936

  1. AT
    Arne Traulsen

    Max Planck Institute for Evolutionary Biology, Germany

    4 publications · 296 citations

    4

    h-index

  2. GZ
    Guodong Zhao

    Shandong Normal University, China

    4 publications · 119 citations

    4

    h-index

  3. AB
    Albert-Ĺaszló Barabási

    Northeastern University, United States

    3 publications · 1.6K citations

    3

    h-index

  4. GC
    Guanrong Chen

    City University of Hong Kong, Hong Kong SAR China

    3 publications · 91 citations

    3

    h-index

  5. TZ
    Tao Zhou

    University of Electronic Science and Technology of China, China

    3 publications · 280 citations

    3

    h-index

1–5 of 936

Venues

  1. 13

    h-index

  2. Physical Review E

    PRE · 12 publications · 552 citations

    11

    h-index

  3. PLoS ONE

    10 publications · 827 citations

    10

    h-index

  4. Scientific Reports

    7 publications · 471 citations

    7

    h-index

  5. PLoS Computational Biology

    6 publications · 303 citations

    6

    h-index

1–5