Diffusion Network Analysis

Diffusion Network Analysis is a computational framework that models the spread of information, behaviors, or innovations through a network by identifying the pathways, actors, and temporal dynamics that govern transmission processes.

34

Publications

2.6K

Citations

106

Authors

68

Institutions

Publications per year

2017–2026

16

Authors

106

  1. WH
    William Hoppitt

    University of St Andrews, United Kingdom

    6 publications · 653 citations

    6

    h-index

  2. MJ
    Matthew J. Hasenjager

    Royal Holloway University of London, United Kingdom

    2 publications · 42 citations

    2

    h-index

  3. JW
    Jennifer W. Spencer

    George Washington University, United States

    1 publications · 106 citations

    1

    h-index

  4. AD
    A. D. Fulton

    University of California, Davis, United States

    1 publications · 26 citations

    1

    h-index

  5. AN
    Antonio Narzisi

    Fondazione Stella Maris, Italy

    1 publications · 11 citations

    1

    h-index

1–5 of 106

Venues

  1. 2

    h-index

  2. Nature Communications

    2 publications · 121 citations

    2

    h-index

  3. Journal of Purchasing and Supply Management

    1 publications · 86 citations

    1

    h-index

  4. Cognitive Affective & Behavioral Neuroscience

    1 publications · 40 citations

    1

    h-index

  5. IEEE Signal Processing Letters

    1 publications · 17 citations

    1

    h-index

1–5