Graph-based Bot Detection

Graph-Based Bot Detection is a computational method that identifies automated social media accounts by modeling interactions and relationships as a graph structure, where nodes represent user accounts and edges represent social interactions, and applies graph-theoretic analysis to detect anomalous patterns indicative of bot behavior.

38

Publications

2.3K

Citations

145

Authors

63

Institutions

Publications per year

2017–2026

28

Authors

145

  1. SF
    Shangbin Feng

    Xi'an Jiaotong University, China

    7 publications · 349 citations

    7

    h-index

  2. ML
    Minnan Luo

    Xi'an Jiaotong University, China

    7 publications · 349 citations

    7

    h-index

  3. HW
    Herun Wan

    Xi'an Jiaotong University, China

    5 publications · 235 citations

    5

    h-index

  4. ZT
    Zhaoxuan Tan

    Xi'an Jiaotong University, China

    4 publications · 173 citations

    4

    h-index

  5. JL
    Jundong Li

    University of Virginia, United States

    2 publications · 75 citations

    2

    h-index

1–5 of 145

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 114 citations

    4

    h-index

  2. Information Sciences

    2 publications · 312 citations

    2

    h-index

  3. Journal Of Big Data

    1 publications · 163 citations

    1

    h-index

  4. Social Network Analysis and Mining

    1 publications · 14 citations

    1

    h-index

  5. KSII Transactions on Internet and Information Systems

    TIIS · 1 publications · 11 citations

    1

    h-index

1–5