Community-based Diffusion

Community-Based Diffusion is a theoretical framework within virality analysis that models the spread of content through interconnected social groups by emphasizing structural affinities, shared norms, and localized interaction patterns as primary drivers of information dissemination, distinguishing it from individual-level or network-agnostic diffusion models.

61

Publications

6.8K

Citations

187

Authors

103

Institutions

Publications per year

2017–2026

24

Authors

187

  1. PF
    Pedro Ferreira

    Carnegie Mellon University, United States

    2 publications · 91 citations

    2

    h-index

  2. DG
    Daniel Gruhl

    IBM Research - Almaden, United States

    2 publications · 2K citations

    2

    h-index

  3. MJ
    Mary Jane Rotheram‐Borus

    University of California, Los Angeles, United States

    2 publications · 75 citations

    2

    h-index

  4. JL
    Jure Leskovec

    Stanford University, United States

    2 publications · 2.5K citations

    2

    h-index

  5. MO
    Matthew O. Jackson

    Stanford University, United States

    2 publications · 257 citations

    2

    h-index

1–5 of 187

Venues

  1. PLoS ONE

    4 publications · 187 citations

    4

    h-index

  2. ACM Transactions on the Web

    TWEB · 2 publications · 2.1K citations

    2

    h-index

  3. IEEE Access

    2 publications · 29 citations

    2

    h-index

  4. 2

    h-index

  5. American Economic Journal Microeconomics

    1 publications · 14 citations

    1

    h-index

1–5