Graph-Based Traffic Analysis is a network traffic analysis method that leverages graph theory to model and analyze relationships among network entities by representing them as nodes and their interactions as edges, enabling the detection of complex communication patterns and anomalous behaviors through structural and topological examination of the resulting graph.
148
Publications
7.6K
Citations
477
Authors
216
Institutions
Publications per year
2017–2026
59
Parents
Publications
148
Anatomy of a large european IXP
Bernhard Ager, Nikolaos Chatzis, Anja Feldmann et al. · 2012 · 275 citations · Full text
CONGESTION AND CENTRALITY IN TRAFFIC FLOW ON COMPLEX NETWORKS
Advances in Complex Systems · 2003 · 201 citations · Full text
1–5 of 148
Authors
477
- MF
5
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- MI
5
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- SU
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4
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3
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1–5 of 477
Institutions
216
Chinese Academy of Sciences
Beijing, China
6 h-index
16 publications
539 citations
ETH Zurich
Zurich, Switzerland
6 h-index
8 publications
627 citations
University of California, Riverside
Riverside, United States
5 h-index
11 publications
831 citations
Arizona State University
Tempe, United States
5 h-index
10 publications
399 citations
Tsinghua University
Beijing, China
4 h-index
7 publications
739 citations
Harvard University Press
Cambridge, United States
4 h-index
4 publications
366 citations
University of California San Diego
San Diego, United States
3 h-index
3 publications
307 citations
Peng Cheng Laboratory
Shenzhen, China
3 h-index
4 publications
736 citations
1–8 of 216
Venues
- Computer Networks
8 publications · 341 citations
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- Physica A Statistical Mechanics and its Applications
9 publications · 340 citations
8
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- IEEE/ACM Transactions on Networking
TON · 4 publications · 147 citations
4
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- IEEE Transactions on Intelligent Transportation Systems
4 publications · 522 citations
4
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- IEEE Access
4 publications · 145 citations
4
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1–5