Community-level Trend Analysis

Community-Level Trend Analysis is a computational method within trend detection that identifies and analyzes emergent patterns in collective behaviors or interests by aggregating and examining interactions, communications, or contributions within a defined online or digital community over time.

21

Publications

1.2K

Citations

54

Authors

46

Institutions

Publications per year

2017–2026

6

Authors

54

  1. DR
    David R. Peart

    Dartmouth College, United States

    2 publications · 248 citations

    2

    h-index

  2. CO
    Campbell O. Webb

    Harvard University, United States

    2 publications · 248 citations

    2

    h-index

  3. QL
    Qiudan Li

    Chinese Academy of Sciences, China

    1 publications · 35 citations

    1

    h-index

  4. FA
    Frédéric Amblard

    Université Toulouse-I-Capitole, France

    1 publications · 39 citations

    1

    h-index

  5. HA
    H. Andrew Schwartz

    Stony Brook University, United States

    1 publications · 19 citations

    1

    h-index

1–5 of 54

Venues

  1. Ecology

    2 publications · 248 citations

    2

    h-index

  2. PubMed

    Repository · 1 publications · 25 citations

    1

    h-index

  3. Biometrics

    1 publications · 72 citations

    1

    h-index

  4. npj Digital Medicine

    1 publications · 19 citations

    1

    h-index

  5. American Journal of Sociology

    AJS · 1 publications · 16 citations

    1

    h-index

1–5