Toward stronger robustness of network controllability: A snapback network model

Yang LOU, Lin WANG, Guanrong CHEN*

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

20 Citations (Scopus)

Abstract

A new complex network model, called q-snapback network, is introduced. Basic topological characteristics of the network, such as degree distribution, average path length, clustering coefficient, and Pearson correlation coefficient, are evaluated. The typical 4-motifs of the network are simulated. The robustness of both state and structural controllabilities of the network against targeted and random node- and edge-removal attacks, with comparisons to the multiplex congruence network and the generic scale-free network, are presented. It is shown that the q-snapback network has the strongest robustness of controllabilities due to its advantageous inherent structure with many chain and loop motifs.

Original languageEnglish
Pages (from-to)2983-2991
Number of pages9
JournalIEEE Transactions on Circuits and Systems I: Regular Papers
Volume65
Issue number9
Early online date16 Apr 2018
DOIs
Publication statusPublished - Sep 2018
Externally publishedYes

Bibliographical note

Funding Information:
This work was supported in part by the Hong Kong Research Grants Council through the GRF under Grant CityU 11200317, in part by the National Natural Science Foundation of China under Grant 61473189, and in part by the Natural Science Foundation of Shanghai under Grant 17ZR1445200.

Publisher Copyright:
© 2004-2012 IEEE.

Keywords

  • Complex network
  • robustness against attack
  • snapback network
  • state controllability
  • structural controllability

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