Dynamics and Control at Feedback Vertex Sets. I: Informative and Determining Nodes in Regulatory Networks
By B. Fiedler, A. Mochizuki, G. Kurosawa, D. Saito. Journal of Dynamics and Differential Equations, 2013
144 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/5827ad1d0268ce611a33d1e32d8d0ef2469bd3bb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Yang Tang
- Albert-László Barabási
- Yang-Yu Liu
- Feng Qian
- Jürgen Kurths
- Huijun Gao
- H. Eugene Stanley
- Jianxi Gao
In Molecular Biology
- Yang-Yu Liu
- Albert-László Barabási
- Jürgen Kurths
- H. Eugene Stanley
- Jianxi Gao
- Huijun Gao
- Feng Qian
- Yang Tang
Citations in the corpus
- Network resilience (2020, background): “Due to the nonlinear nature of ecosystems, it is difficult to control them since controlling nonlinear dynamical networks remains to be an outstanding problem and is currently an active area of research [254, 255].”
- Control Principles of Complex Networks (2015, background): “For regulatory networks described as a digraph of dependencies, it has been recently shown that open-loop control applied to a feedback vertex set (FVS) will force the remaining network to stably follow the desired trajectories (Fiedler et al., 2013; Mochizuki et al., 2013).”
- Synchronization in complex networks and its application - A survey of recent advances and challenges (2014, background): “In Fiedler et al. (2013), Mochizuki et al.”