Hashtag Trend Analysis

Hashtag Trend Analysis is a computational method within the domain of social media analytics that identifies, tracks, and interprets the temporal emergence and diffusion of hashtags in user-generated content to detect and characterize evolving thematic patterns in online discourse.

84

Publications

3.7K

Citations

288

Authors

149

Institutions

Publications per year

2017–2026

52

Authors

288

  1. JL
    Jiebo Luo

    University of Rochester, United States

    3 publications · 48 citations

    3

    h-index

  2. AB
    Axel Bruns

    Queensland University of Technology, Australia

    3 publications · 443 citations

    3

    h-index

  3. SN
    Sameh N. Saleh

    The University of Texas Southwestern Medical Center, United States

    3 publications · 372 citations

    3

    h-index

  4. CU
    Christoph U. Lehmann

    Johns Hopkins University, United States

    3 publications · 372 citations

    3

    h-index

  5. RJ
    Richard J Medford

    The University of Texas Southwestern Medical Center, United States

    3 publications · 372 citations

    3

    h-index

1–5 of 288

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 85 citations

    4

    h-index

  2. Journal of Medical Internet Research

    3 publications · 79 citations

    3

    h-index

  3. Information Communication & Society

    ICS · 3 publications · 49 citations

    3

    h-index

  4. First Monday

    2 publications · 28 citations

    2

    h-index

  5. 2

    h-index

1–5