Dynamic Network Analysis

Dynamic Network Analysis is a network-analytic framework that extends static graph-based methods to model, quantify, and infer how the structure and attributes of nodes and edges in a network change over time and how these temporal patterns influence the behavior and function of the underlying complex system.

2.4K

Publications

139.6K

Citations

6K

Authors

1.8K

Institutions

Publications per year

2017–2026

852

Authors

6K

  1. JK
    Jürgen Kurths

    Potsdam Institute for Climate Impact Research, Germany

    15 publications · 2.1K citations

    14

    h-index

  2. GC
    Guanrong Chen

    City University of Hong Kong, Hong Kong SAR China

    14 publications · 2K citations

    14

    h-index

  3. PM
    Paul M.J. Van den Hof

    Delft University of Technology, Netherlands

    20 publications · 634 citations

    14

    h-index

  4. KM
    Kathleen M. Carley

    Carnegie Mellon University, United States

    14 publications · 894 citations

    13

    h-index

  5. JC
    Jinde Cao

    Southeast University, China

    12 publications · 538 citations

    12

    h-index

1–5 of 6K

Venues

  1. 38

    h-index

  2. Physical Review E

    PRE · 70 publications · 4.5K citations

    37

    h-index

  3. Scientific Reports

    44 publications · 2.7K citations

    28

    h-index

  4. PLoS ONE

    33 publications · 3.7K citations

    23

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 25 publications · 1.8K citations

    21

    h-index

1–5