User Behavior Metrics
User Behavior Metrics is a security metric that quantifies and analyzes patterns, anomalies, and risk indicators in individual or group user activities within a system to assess compliance, detect insider threats, and evaluate the effectiveness of security controls.
502
Publications
31K
Citations
1.6K
Authors
565
Institutions
Publications per year
2017–2026
188
Parents
502
The dynamics of viral marketing
Jure Leskovec, Lada A. Adamic, Bernardo A. Huberman · ACM Transactions on the Web · 2007 · 2.1K citations · Full text
Characterizing user behavior in online social networks
Fabrício Benevenuto, Tiago Rodrigues, Meeyoung Cha et al. · 2009 · 803 citations
Mor Naaman, Jeffrey Boase, Chih‐Hui Lai · 2010 · 725 citations
Greg Pass, Abdur Chowdhury, Cayley Torgeson · 2006 · 674 citations
1–5 of 502
1.6K
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3
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1–5 of 1.6K
565
Carnegie Mellon University
Pittsburgh, United States
15 h-index
45 publications
6.7K citations
Tsinghua University
Beijing, China
13 h-index
38 publications
3.5K citations
Microsoft (United States)
Redmond, United States
12 h-index
29 publications
2.8K citations
Google (United States)
Mountain View, United States
7 h-index
21 publications
970 citations
University of California, Berkeley
Berkeley, United States
7 h-index
13 publications
860 citations
Stanford University
Stanford, United States
7 h-index
18 publications
905 citations

Data61
Sydney, Australia
6 h-index
8 publications
772 citations
University of Southern California
Los Angeles, United States
6 h-index
11 publications
318 citations
1–8 of 565
8 publications · 1.2K citations
8
h-index
Repository · 7 publications · 206 citations
7
h-index
7 publications · 162 citations
7
h-index
TRR · 5 publications · 122 citations
5
h-index
5 publications · 452 citations
5
h-index
1–5