title: Controlling extreme events on complex networks.
abstract: Extreme events, a type of collective behavior in complex networked dynamical systems, often can have catastrophic consequences. To develop effective strategies to control extreme events is of fundamental importance and practical interest. Utilizing transportation dynamics on complex networks as a prototypical setting, we find that making the network "mobile" can effectively suppress extreme events. A striking, resonance-like phenomenon is uncovered, where an optimal degree of mobility exists for which the probability of extreme events is minimized. We derive an analytic theory to understand the mechanism of control at a detailed and quantitative level, and validate the theory numerically. Implications of our finding to current areas such as cybersecurity are discussed.
authors.affiliation: School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, Arizona 85287, USA.
authors.forename: Yu-Zhong
authors.initials: YZ
authors.lastname: Chen
authors.affiliation: 1] School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, Arizona 85287, USA [2] Institute of Computational Physics and Complex Systems, Lanzhou University, Lanzhou Gansu 730000, China.
authors.forename: Zi-Gang
authors.initials: ZG
authors.lastname: Huang
authors.affiliation: 1] School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, Arizona 85287, USA [2] Department of Physics, Arizona State University, Tempe, Arizona 85287, USA.
authors.forename: Ying-Cheng
authors.initials: YC
authors.lastname: Lai