Abstract
To develop effective control strategies to enhance the robustness of multilayer networks against large-scale failures is of significant value. We articulate the idea of 'remote control' whereby adaptive perturbations to one network layer are able to enhance the resilience of not only itself but also other interconnected network layers. We analyze the principle of remote control using percolation dynamics by showing analytically and numerically that, with the adaptive generation of a small number of new links in the control layer, not only is this layer but also other layers become dramatically more resistant to cascading failures. We also find that remote control is more effective for scale-free than for random networks. Remote intervention of multilayer network systems through adaptation has real-world applications, which we illustrate using the rail and coach transportation system in the Great Britain.
| Original language | English (US) |
|---|---|
| Article number | 045002 |
| Journal | New Journal of Physics |
| Volume | 21 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 12 2019 |
Keywords
- cascading failure
- multilayer network
- percolation
- remote control
ASJC Scopus subject areas
- Physics and Astronomy(all)
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In: New Journal of Physics, Vol. 21, No. 4, 045002, 12.04.2019.
Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Remote control of cascading dynamics on complex multilayer networks
AU - Liu, Run Ran
AU - Jia, Chun Xiao
AU - Lai, Ying Cheng
N1 - Funding Information: Run-Ran Liu Chun-Xiao Jia Ying-Cheng Lai Run-Ran Liu Chun-Xiao Jia Ying-Cheng Lai Alibaba Research Center for Complexity Sciences, Hangzhou Normal University, Hangzhou, Zhejiang 311121, People’s Republic of China School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ 85287, United States of America Department of Physics, Arizona State University, Tempe, AZ 85287, United States of America Author to whom any correspondence should be addressed. Run-Ran Liu, Chun-Xiao Jia and Ying-Cheng Lai 2019-04-01 2019-04-12 13:51:07 cgi/release: Article released bin/incoming: New from .zip Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence . Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. National Natural Science Foundation of China https://doi.org/10.13039/501100001809 61673150 61773148 ONR N00014-16-1-2828 yes To develop effective control strategies to enhance the robustness of multilayer networks against large-scale failures is of significant value. We articulate the idea of ‘remote control’ whereby adaptive perturbations to one network layer are able to enhance the resilience of not only itself but also other interconnected network layers. We analyze the principle of remote control using percolation dynamics by showing analytically and numerically that, with the adaptive generation of a small number of new links in the control layer, not only is this layer but also other layers become dramatically more resistant to cascading failures. We also find that remote control is more effective for scale-free than for random networks. Remote intervention of multilayer network systems through adaptation has real-world applications, which we illustrate using the rail and coach transportation system in the Great Britain. � 2019 The Author(s). Published by IOP Publishing Ltd on behalf of the Institute of Physics and Deutsche Physikalische Gesellschaft [1] Albert R, Jeong H and Barabási A L 2000 Nature 406 378–82 10.1038/35019019 Albert R, Jeong H and Barabási A L Nature 406 2000 378 382 [2] Cohen R, Erez K B, Avraham D and Havlin S 2001 Phys. Rev. Lett. 86 3682–5 10.1103/PhysRevLett.86.3682 Cohen R, Erez K B, Avraham D and Havlin S Phys. Rev. Lett. 86 2001 3682 3685 [3] Callaway D S, Newman M E J, Strogatz S H and Watts D J 2000 Phys. Rev. Lett. 85 5468–71 10.1103/PhysRevLett.85.5468 Callaway D S, Newman M E J, Strogatz S H and Watts D J Phys. Rev. Lett. 85 2000 5468 5471 [4] Watts D J 2002 Proc. Natl Acad. Sci. 99 5766–71 10.1073/pnas.082090499 Watts D J Proc. Natl Acad. 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PY - 2019/4/12
Y1 - 2019/4/12
N2 - To develop effective control strategies to enhance the robustness of multilayer networks against large-scale failures is of significant value. We articulate the idea of 'remote control' whereby adaptive perturbations to one network layer are able to enhance the resilience of not only itself but also other interconnected network layers. We analyze the principle of remote control using percolation dynamics by showing analytically and numerically that, with the adaptive generation of a small number of new links in the control layer, not only is this layer but also other layers become dramatically more resistant to cascading failures. We also find that remote control is more effective for scale-free than for random networks. Remote intervention of multilayer network systems through adaptation has real-world applications, which we illustrate using the rail and coach transportation system in the Great Britain.
AB - To develop effective control strategies to enhance the robustness of multilayer networks against large-scale failures is of significant value. We articulate the idea of 'remote control' whereby adaptive perturbations to one network layer are able to enhance the resilience of not only itself but also other interconnected network layers. We analyze the principle of remote control using percolation dynamics by showing analytically and numerically that, with the adaptive generation of a small number of new links in the control layer, not only is this layer but also other layers become dramatically more resistant to cascading failures. We also find that remote control is more effective for scale-free than for random networks. Remote intervention of multilayer network systems through adaptation has real-world applications, which we illustrate using the rail and coach transportation system in the Great Britain.
KW - cascading failure
KW - multilayer network
KW - percolation
KW - remote control
UR - http://www.scopus.com/inward/record.url?scp=85067604482&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067604482&partnerID=8YFLogxK
U2 - 10.1088/1367-2630/ab0e1a
DO - 10.1088/1367-2630/ab0e1a
M3 - Article
AN - SCOPUS:85067604482
SN - 1367-2630
VL - 21
JO - New Journal of Physics
JF - New Journal of Physics
IS - 4
M1 - 045002
ER -