Temporal Network Controllability is a theoretical framework within dynamic network analysis that characterizes the minimum set of driver nodes required to steer a time-varying networked system from any initial state to any desired final state over a given time horizon, distinguishing it from static controllability by explicitly accounting for the temporal ordering and duration of interactions.
32
Publications
1.4K
Citations
61
Authors
42
Institutions
Publications per year
2017–2026
11
Parents
Publications
32
The fundamental advantages of temporal networks
Aming Li, Sean P. Cornelius, Yang‐Yu Liu et al. · Science · 2017 · 501 citations · Full text
Structural controllability of temporal networks
Márton Pósfai, Philipp Hövel · New Journal of Physics · 2014 · 85 citations · Full text
1–5 of 32
Authors
61
- LH
7
h-index
- RP
4
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- CC
3
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- PD
3
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- MN
3
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1–5 of 61
Institutions
42
Vassar College
Town of Poughkeepsie, United States
7 h-index
7 publications
156 citations
University of Verona
Verona, Italy
5 h-index
11 publications
253 citations
Linköping University
Linköping, Sweden
4 h-index
10 publications
146 citations
University of Trento
Trento, Italy
3 h-index
3 publications
66 citations
Tongji University
Shanghai, China
3 h-index
6 publications
160 citations
Fudan University
Shanghai, China
3 h-index
8 publications
376 citations
Ames Research Center
Mountain View, United States
2 h-index
4 publications
206 citations
Fondazione Bruno Kessler
Trento, Italy
2 h-index
6 publications
141 citations
1–8 of 42
Venues
- Proceedings of the International Conference on Automated Planning and Scheduling
3 publications · 47 citations
3
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- PLoS ONE
2 publications · 93 citations
2
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- Journal of Artificial Intelligence Research
JAIR · 2 publications · 30 citations
2
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- Journal of Complex Networks
1 publications · 19 citations
1
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- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 1 publications · 18 citations
1
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1–5