Remote control of cascading dynamics on complex multilayer networks

Run Ran Liu, Chun Xiao Jia, Ying-Cheng Lai

Research output: Contribution to journalArticle

1 Citation (Scopus)

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 languageEnglish (US)
Article number045002
JournalNew Journal of Physics
Volume21
Issue number4
DOIs
StatePublished - Apr 12 2019

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remote control
rail transportation
resilience
United Kingdom
perturbation

Keywords

  • cascading failure
  • multilayer network
  • percolation
  • remote control

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Remote control of cascading dynamics on complex multilayer networks. / Liu, Run Ran; Jia, Chun Xiao; Lai, Ying-Cheng.

In: New Journal of Physics, Vol. 21, No. 4, 045002, 12.04.2019.

Research output: Contribution to journalArticle

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