Hashtag Evolution

Hashtag Evolution is a scholarly construct in computational social science that characterizes the dynamic process by which hashtags change in usage, meaning, and network propagation over time within digital communication ecosystems.

17

Publications

1.1K

Citations

197

Authors

206

Institutions

Publications per year

2017–2026

10

Authors

197

  1. DL
    David Lazer

    Northeastern University, United States

    2 publications · 103 citations

    2

    h-index

  2. AB
    Andrea Baronchelli

    City, University of London, United Kingdom

    2 publications · 103 citations

    2

    h-index

  3. BK
    Brian Keegan

    University of Colorado Boulder, United States

    2 publications · 103 citations

    2

    h-index

  4. YH
    Ying Hu

    Institut de recherche mathématique de Rennes, France

    2 publications · 44 citations

    2

    h-index

  5. YL
    Yu‐Ru Lin

    University of Pittsburgh, United States

    2 publications · 103 citations

    2

    h-index

1–5 of 197

Venues

  1. EPJ Data Science

    1 publications · 42 citations

    1

    h-index

  2. Journal of Pragmatics

    1 publications · 45 citations

    1

    h-index

  3. World Wide Web

    1 publications · 24 citations

    1

    h-index

  4. 1

    h-index

  5. Information Sciences

    1 publications · 20 citations

    1

    h-index

1–5