Supervised Bot Detection is a machine learning–based bot detection approach that classifies bot accounts using labeled training data to learn distinguishing behavioral or content patterns from known bots and humans.
19
Publications
1.4K
Citations
57
Authors
17
Institutions
Publications per year
2017–2026
16
Parents
Publications
19
DeBot: Twitter Bot Detection via Warped Correlation
Nikan Chavoshi, Hossein Hamooni, Abdullah Mueen · 2016 · 258 citations
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark
Shangbin Feng, Herun Wan, Ningnan Wang et al. · 2021 · 179 citations · Full text
Botnet Detection Approach Using Graph-Based Machine Learning
Afnan Alharbi, Khalid Alsubhi · IEEE Access · 2021 · 90 citations · Full text
1–5 of 19
Authors
57
- CF
2
h-index
- NL
2
h-index
- AA
2
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- JX
2
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- JT
2
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1–5 of 57
Institutions
17
Zhejiang University
Hangzhou, China
2 h-index
6 publications
152 citations
Indiana University Bloomington
Bloomington, United States
2 h-index
7 publications
652 citations
NetEase (China)
Beijing, China
2 h-index
6 publications
172 citations
University of Waterloo
Waterloo, Canada
2 h-index
8 publications
432 citations
King Abdulaziz University
Jeddah, Saudi Arabia
1 h-index
2 publications
180 citations
Sabancı Üniversitesi
Istanbul, Türkiye
1 h-index
1 publications
154 citations
University of Virginia
Charlottesville, United States
1 h-index
1 publications
179 citations
Institute of Mathematical Sciences
Madrid, Spain
1 h-index
1 publications
17 citations
1–8 of 17
Venues
- arXiv (Cornell University)
Repository · 2 publications · 51 citations
2
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- ACM Transactions on Knowledge Discovery from Data
TKDD · 1 publications · 22 citations
1
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- Mathematical Problems in Engineering
MPE · 1 publications · 61 citations
1
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- IEEE Transactions on Network and Service Management
TNSM · 1 publications · 69 citations
1
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- Journal of Physics Conference Series
1 publications · 23 citations
1
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1–5