Bot Behavior Analysis is a computational method within bot detection research that distinguishes automated agent activities from human user behaviors by systematically examining behavioral patterns, temporal dynamics, and interaction anomalies characteristic of non-human accounts.
283
Publications
16.1K
Citations
732
Authors
336
Institutions
Publications per year
2017–2026
176
Parents
Publications
283
Communications of the ACM · 2016 · 1.6K citations · Full text
Steven Gianvecchio, Haining Wang, Sushil Jajodia · 2010 · 505 citations
Deep neural networks for bot detection
Sneha Kudugunta, Emilio Ferrara · Information Sciences · 2018 · 500 citations · Full text
1–5 of 283
Authors
732
- HW
8
h-index
- EF
7
h-index
- HK
7
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- RF
6
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- AM
6
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1–5 of 732
Institutions
336
Carnegie Mellon University
Pittsburgh, United States
13 h-index
25 publications
964 citations
William & Mary
Williamsburg, United States
8 h-index
22 publications
3.2K citations
University of Southern California
Los Angeles, United States
7 h-index
11 publications
2.7K citations
George Mason University
Fairfax, United States
7 h-index
10 publications
1.7K citations
Indiana University Bloomington
Bloomington, United States
6 h-index
19 publications
8.7K citations
National Taiwan University
Taipei, Taiwan
6 h-index
17 publications
930 citations
Microsoft (United States)
Redmond, United States
6 h-index
12 publications
518 citations
Korea University
Seoul, South Korea
6 h-index
15 publications
478 citations
1–8 of 336
Venues
- arXiv (Cornell University)
Repository · 6 publications · 263 citations
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- Proceedings of the ACM on Human-Computer Interaction
PACMHCI · 5 publications · 347 citations
5
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- Procedia Computer Science
5 publications · 107 citations
5
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- First Monday
4 publications · 158 citations
4
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- CLEF (Working Notes)
3 publications · 54 citations
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