Adaptive Network Dynamics

Adaptive Network Dynamics is a computational framework within dynamic network analysis that integrates feedback mechanisms between network structure and node state evolution, enabling the modeling of co-evolving topologies and behaviors in response to internal or external stimuli.

127

Publications

8.9K

Citations

295

Authors

207

Institutions

Publications per year

2017–2026

44

Authors

295

  1. AH
    Ali H. Sayed

    University of California, Los Angeles, United States

    6 publications · 435 citations

    6

    h-index

  2. JT
    Jan Treur

    Vrije Universiteit Amsterdam, Netherlands

    5 publications · 160 citations

    5

    h-index

  3. JM
    James M. Shine

    The University of Sydney, Australia

    4 publications · 284 citations

    4

    h-index

  4. ST
    Sheng-Yuan Tu

    University of California, Los Angeles, United States

    4 publications · 269 citations

    4

    h-index

  5. RB
    Rico Berner

    Technische Universität Berlin, Germany

    4 publications · 140 citations

    4

    h-index

1–5 of 295

Venues

  1. Physical Review E

    PRE · 15 publications · 1.5K citations

    13

    h-index

  2. Physical Review Letters

    PRL · 6 publications · 1.2K citations

    6

    h-index

  3. Physical review. E

    PRE · 6 publications · 193 citations

    6

    h-index

  4. Cognitive Systems Research

    5 publications · 160 citations

    5

    h-index

  5. 4

    h-index

1–5