Control Profiles of Complex Networks
By Justin Ruths, Derek Ruths. Science, 2014
388 citations recorded by the source corpus.
Subfields: Molecular Biology, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/7852e37f0c4a5b06b837b8375427e8441bf024e6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Yang-Yu Liu
- Albert-László Barabási
- Jürgen Kurths
- Huijun Gao
- Feng Qian
- Yang Tang
- Alessandro Vespignani
- Olaf Sporns
In Statistical and Nonlinear Physics
- Yang-Yu Liu
- Albert-László Barabási
- Jürgen Kurths
- Huijun Gao
- Yang Tang
- Feng Qian
- Mark Newman
- Marc Barthelemy
Citations in the corpus
- Control Principles of Complex Networks (2015, methodology): “To understand why a node is a driver node, we decompose the driver nodes (ND) into three groups (Ruths and Ruths, 2014): (1) source nodes (Ns) that have no incoming links, hence they must be directly controlled, being always driver nodes; (2) external dilations (Ne) arise due to a surplus of sink…”
- Synchronization in complex networks and its application - A survey of recent advances and challenges (2014, background): “In Ruths and Ruths (2014), it is unveiled that standard random network models do not replicate the types of control profiles found in real-world networks.”