Trend Detection

Trend Detection is a computational process within Social Media Analytics that identifies emerging patterns or shifts in user-generated content by analyzing temporal, semantic, and network-driven anomalies in social media data.

1.8K

Publications

136.5K

Citations

5.1K

Authors

1.6K

Institutions

Publications per year

2017–2026

738

Authors

5.1K

  1. CF
    Christos Faloutsos

    Carnegie Mellon University, United States

    9 publications · 878 citations

    9

    h-index

  2. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    8 publications · 287 citations

    8

    h-index

  3. IR
    Iman Raeesi Vanani

    Allameh Tabataba'i University, Iran

    8 publications · 172 citations

    8

    h-index

  4. BA
    Bernardo A. Huberman

    Palo Alto Research Center, United States

    8 publications · 712 citations

    8

    h-index

  5. SA
    Sitaram Asur

    Hewlett-Packard (United States), United States

    7 publications · 680 citations

    7

    h-index

1–5 of 5.1K

Venues

  1. PLoS ONE

    31 publications · 2.2K citations

    23

    h-index

  2. 20

    h-index

  3. Expert Systems with Applications

    23 publications · 2K citations

    19

    h-index

  4. arXiv (Cornell University)

    Repository · 42 publications · 1.1K citations

    18

    h-index

  5. IEEE Access

    21 publications · 967 citations

    16

    h-index

1–5