Hashtag Popularity Dynamics

Hashtag Popularity Dynamics is a theoretical construct in computational social science that characterizes the temporal evolution and diffusion patterns of hashtag usage across social media platforms, distinguishing itself by modeling the mechanisms driving variation in adoption, persistence, and decline relative to contextual, network, and content-specific factors.

42

Publications

2.7K

Citations

130

Authors

96

Institutions

Publications per year

2017–2026

29

Authors

130

  1. LA
    Lennart Ante

    Universität Hamburg, Germany

    3 publications · 244 citations

    3

    h-index

  2. JU
    Johan Ugander

    Stanford University, United States

    2 publications · 112 citations

    2

    h-index

  3. YL
    Yu‐Ru Lin

    University of Pittsburgh, United States

    2 publications · 103 citations

    2

    h-index

  4. DL
    David Lazer

    Northeastern University, United States

    2 publications · 103 citations

    2

    h-index

  5. YH
    Ying Hu

    Institut de recherche mathématique de Rennes, France

    2 publications · 44 citations

    2

    h-index

1–5 of 130

Venues

  1. PLoS ONE

    3 publications · 114 citations

    3

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  2. SSRN Electronic Journal

    Repository · 2 publications · 89 citations

    2

    h-index

  3. Social Network Analysis and Mining

    2 publications · 91 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 114 citations

    2

    h-index

  5. 2

    h-index

1–5