Paper Info
Title
Control Principles of Complex Networks
Abstract
A reflection of our ultimate understanding of a complex system is our ability to control its behavior. Typically, control has multiple prerequisites: It requires an accurate map of the network that governs the interactions between the systemu0027s components, a quantitative description of the dynamical laws that govern the temporal behavior of each component, and an ability to influence the state and temporal behavior of a selected subset of the components. With deep roots in nonlinear dynamics and control theory, notions of control and controllability have taken a new life recently in the study of complex networks, inspiring several fundamental questions: What are the control principles of complex systems? How do networks organize themselves to balance control with functionality? To address these here we review recent advances on the controllability and the control of complex networks, exploring the intricate interplay between a systemu0027s structure, captured by its network topology, and the dynamical laws that govern the interactions between the components. We match the pertinent mathematical results with empirical findings and applications. We show that uncovering the control principles of complex systems can help us explore and ultimately understand the fundamental laws that govern their behavior.
Year
Venue
Field
2015
Reviews of Modern Physics
Complex system,Nonlinear system,Controllability,Quantum mechanics,Theoretical computer science,Network topology,Complex network,Physics
DocType
Volume
Citations 
Journal
abs/1508.05384
2
PageRank 
References 
Authors
0.39
0
2
Name
Order
Citations
PageRank
Yang-Yu Liu11199.57
Albert-lászló Barabási246491107.35