Platform Spread Dynamics

Platform Spread Dynamics is a computational framework that characterizes the mechanistic patterns and temporal evolution of viral challenge dissemination across digital platforms by integrating network topology, user engagement behaviors, and algorithmic amplification effects.

19

Publications

3.4K

Citations

70

Authors

44

Institutions

Publications per year

2017–2026

13

Authors

70

  1. NV
    Nicolás Velásquez

    George Washington University, United States

    3 publications · 120 citations

    3

    h-index

  2. YL
    Yonatan Lupu

    George Washington University, United States

    3 publications · 120 citations

    3

    h-index

  3. RS
    Richard Sear

    George Washington University, United States

    3 publications · 120 citations

    3

    h-index

  4. NG
    Nicholas Gabriel

    George Washington University, United States

    3 publications · 120 citations

    3

    h-index

  5. RL
    Rhys Leahy

    George Washington University, United States

    3 publications · 120 citations

    3

    h-index

1–5 of 70

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 92 citations

    2

    h-index

  2. Knowledge-Based Systems

    1 publications · 26 citations

    1

    h-index

  3. Science

    1 publications · 285 citations

    1

    h-index

  4. 1

    h-index

  5. Research Square

    Repository · 1 publications · 18 citations

    1

    h-index

1–5