Information Flow Graphs
Information Flow Graph is a directed graph-based model that represents the pathways and dependencies of information transmission among nodes within a communication topology, distinguishing itself by explicitly encoding the direction, sequence, and potential bottlenecks of data flow in networked systems.
281
Publications
13.6K
Citations
708
Authors
298
Institutions
Publications per year
2017–2026
43
Variants
Information Flow Graph
Parents
281
Visualizing and Understanding Neural Models in NLP
Jiwei Li, Xinlei Chen, Eduard Hovy et al. · 2016 · 544 citations · Full text
SPHINX: Detecting Security Attacks in Software-Defined Networks
Mohan Dhawan, Rishabh Poddar, Kshiteej Mahajan et al. · 2015 · 374 citations
Polynomial time algorithms for network information flow
Peter Sanders, Sebastian Egner, Ludo Tolhuizen · 2003 · 273 citations · Full text
1–5 of 281
708
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h-index
1–5 of 708
298
IBM (United States)
Armonk, United States
7 h-index
13 publications
1.8K citations
University of California, Irvine
Irvine, United States
6 h-index
18 publications
1.5K citations

Concordia University
Montreal, Canada
6 h-index
21 publications
675 citations
Technical University of Munich
Munich, Germany
6 h-index
15 publications
484 citations
The University of Texas at Arlington
Arlington, United States
5 h-index
11 publications
704 citations
Philips (Netherlands)
Amsterdam, The Netherlands
4 h-index
19 publications
1.4K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
4 h-index
7 publications
494 citations
Università della Svizzera italiana
Lugano, Switzerland
4 h-index
9 publications
298 citations
1–8 of 298
6 publications · 337 citations
6
h-index
4 publications · 125 citations
4
h-index
4 publications · 73 citations
4
h-index
3 publications · 162 citations
3
h-index
TOSEM · 3 publications · 790 citations
3
h-index
1–5