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
Parents
38
BotGrep: finding P2P bots with structured graph analysis
Shishir Nagaraja, Prateek Mittal, Chi-Yao Hong et al. · 2010 · 232 citations
BotGraph: large scale spamming botnet detection
Yao Zhao, Yinglian Xie, Fang Yu et al. · 2009 · 167 citations
Botnet detection using graph-based feature clustering
Sudipta Chowdhury, Mojtaba Khanzadeh, Ravi Akula et al. · Journal Of Big Data · 2017 · 163 citations · Full text
Shangbin Feng, Herun Wan, Ningnan Wang et al. · 2021 · 131 citations
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63

Xi'an Jiaotong University
Xi'an, China
3 h-index
10 publications
992 citations
Vietnam Academy of Science and Technology
Hanoi, Vietnam
2 h-index
2 publications
169 citations

Beihang University
Beijing, China
2 h-index
8 publications
641 citations
National Institute of Technology Warangal
Warangal, India
2 h-index
6 publications
288 citations
Indian Institute of Information Technology Allahabad
Prayagraj, India
2 h-index
2 publications
96 citations
Vietnam Posts and Telecommunications Group (Vietnam)
Ho Chi Minh City, Vietnam
2 h-index
2 publications
169 citations

University of Waterloo
Waterloo, Canada
2 h-index
8 publications
432 citations
Posts and Telecommunications Institute of Technology
Hà Đông, Vietnam
2 h-index
2 publications
169 citations
1–8 of 63
Repository · 4 publications · 114 citations
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2 publications · 312 citations
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1 publications · 163 citations
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1 publications · 14 citations
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TIIS · 1 publications · 11 citations
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