Message Diffusion

Message Diffusion is a theoretical framework within the study of information flow that specifies the mechanisms and pathways by which messages propagate across nodes in a network through iterative, localized transmission processes.

162

Publications

7.3K

Citations

506

Authors

238

Institutions

Publications per year

2017–2026

46

Authors

506

  1. SC
    Stuart C. Dodd

    University of Washington, United States

    4 publications · 78 citations

    4

    h-index

  2. TE
    Tingyee E. Chang

    University of Southern California, United States

    2 publications · 203 citations

    2

    h-index

  3. JH
    Jorge Herrera-Tapia

    Universitat Politècnica de València, Spain

    2 publications · 28 citations

    2

    h-index

  4. RS
    Ray Strong

    IBM (United States), United States

    2 publications · 594 citations

    2

    h-index

  5. HA
    H. Aghili

    IBM (United States), United States

    2 publications · 594 citations

    2

    h-index

1–5 of 506

Venues

  1. 11

    h-index

  2. Journal of Computational Science

    3 publications · 44 citations

    3

    h-index

  3. Signal Processing

    3 publications · 110 citations

    3

    h-index

  4. Knowledge-Based Systems

    3 publications · 146 citations

    3

    h-index

  5. New Media & Society

    3 publications · 196 citations

    3

    h-index

1–5