Conversation Trend Analysis

Conversation Trend Analysis is a methodological framework within trend detection that systematically identifies, models, and interprets the emergence, evolution, and diffusion of topics and sentiments in conversational data over time.

53

Publications

2.3K

Citations

184

Authors

96

Institutions

Publications per year

2017–2026

31

Authors

184

  1. AF
    Alessandro Flammini

    Indiana University Bloomington, United States

    2 publications · 97 citations

    2

    h-index

  2. EF
    Emilio Ferrara

    University of Southern California, United States

    2 publications · 97 citations

    2

    h-index

  3. OV
    Onur Varol

    Indiana University Bloomington, United States

    2 publications · 97 citations

    2

    h-index

  4. JM
    Jalal Mahmud

    IBM Research - Almaden, United States

    1 publications · 18 citations

    2

    h-index

  5. SO
    Shereen Oraby

    University of California, Santa Cruz, United States

    1 publications · 18 citations

    2

    h-index

1–5 of 184

Venues

  1. Journal of Medical Internet Research

    2 publications · 36 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 70 citations

    2

    h-index

  3. 2

    h-index

  4. Information Communication & Society

    ICS · 1 publications · 35 citations

    1

    h-index

  5. Nature

    1 publications · 107 citations

    1

    h-index

1–5