Hashtag Frequency Analysis

Hashtag Frequency Analysis is a computational method in social media analytics that quantifies the occurrence of specific hashtags within a dataset to identify patterns, trends, and influential topics in online discourse.

54

Publications

2K

Citations

221

Authors

147

Institutions

Publications per year

2017–2026

38

Authors

221

  1. DB
    Dessy Boneva

    Regional Medical Center, United States

    2 publications · 25 citations

    2

    h-index

  2. MM
    Mark McKenney

    Regional Medical Center, United States

    2 publications · 25 citations

    2

    h-index

  3. AE
    Adel Elkbuli

    Regional Medical Center, United States

    2 publications · 25 citations

    2

    h-index

  4. KS
    Kristen Santarone

    Regional Medical Center, United States

    2 publications · 25 citations

    2

    h-index

  5. AN
    Anthony N. Hage

    Michigan Medicine, United States

    1 publications · 17 citations

    1

    h-index

1–5 of 221

Venues

  1. JMIR Public Health and Surveillance

    2 publications · 103 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 24 citations

    2

    h-index

  3. Agronomy

    1 publications · 20 citations

    1

    h-index

  4. Big Data Mining and Analytics

    1 publications · 32 citations

    1

    h-index

  5. Nordic Journal of Religion and Society

    NJRS · 1 publications · 18 citations

    1

    h-index

1–5