Virality Analysis

Virality Analysis is a computational method in social media analytics that identifies and quantifies the patterns of rapid content dissemination across networks by measuring the extent and speed of user-driven sharing relative to initial exposure.

305

Publications

27.9K

Citations

852

Authors

408

Institutions

Publications per year

2017–2026

166

Authors

852

  1. LX
    Lexing Xie

    Australian National University, Australia

    6 publications · 251 citations

    6

    h-index

  2. LA
    Lada A. Adamic

    University of Michigan, United States

    6 publications · 3K citations

    6

    h-index

  3. MR
    Marian-Andrei Rizoiu

    Australian National University, Australia

    6 publications · 191 citations

    6

    h-index

  4. NP
    Nicolas Pröllochs

    Ludwig-Maximilians-Universität München, Germany

    5 publications · 207 citations

    5

    h-index

  5. JL
    Jure Leskovec

    Stanford University, United States

    4 publications · 2.6K citations

    4

    h-index

1–5 of 852

Venues

  1. 12

    h-index

  2. arXiv (Cornell University)

    Repository · 12 publications · 412 citations

    11

    h-index

  3. PLoS ONE

    6 publications · 199 citations

    6

    h-index

  4. Computers in Human Behavior

    5 publications · 629 citations

    5

    h-index

  5. Journal of Medical Internet Research

    3 publications · 482 citations

    3

    h-index

1–5