Controlling extreme events on complex networks

Yu-Zhong Chen; Zi-Gang Huang; Ying-Cheng Lai

doi:10.1038/srep06121

Controlling extreme events on complex networks

Yu-Zhong Chen, Zi-Gang Huang, Ying-Cheng Lai

Lanzhou University

Research output: Contribution to journal › Article › peer-review

26 Citations (Scopus)

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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.

Original language	English
Article number	6121
Journal	Scientific Reports
Volume	4
DOIs	https://doi.org/10.1038/srep06121
Publication status	Published - 18 Aug 2014

Bibliographical note

Date of Acceptance: 29/07/2014

We thank Prof. W.-X. Wang and Prof. L. Huang for helpful discussions. This work was partially supported by AFOSR under Grant No. FA9550-10-1-0083, by NSF under Grant No. CDI-1026710 and by ARO under Grant No. W911NF-14-1-0504.

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10.1038/srep06121

Controlling extreme events on complex networks
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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 {\textquoteleft}{\textquoteleft}mobile{\textquoteright}{\textquoteright} 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 findingto current areas such as cybersecurity are discussed.",

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AB - 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 findingto current areas such as cybersecurity are discussed.

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Controlling extreme events on complex networks

Abstract

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