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Robustness of networks formed from interdependent correlated networks under intentional attacks

  • Long Liu*
  • , Ke Meng
  • , Zhaoyang Dong
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

We study the problem of intentional attacks targeting to interdependent networks generated with known degree distribution (in-degree oriented model) or distribution of interlinks (out-degree oriented model). In both models, each node's degree is correlated with the number of its links that connect to the other network. For both models, varying the correlation coefficient has a significant effect on the robustness of a system undergoing random attacks or attacks targeting nodes with low degree. For a system with an assortative relationship between in-degree and out-degree, reducing the broadness of networks’ degree distributions can increase the resistance of systems against intentional attacks. © 2017 Elsevier B.V.
Original languageEnglish
Pages (from-to)329-339
JournalPhysica A: Statistical Mechanics and its Applications
Volume491
DOIs
Publication statusPublished - 1 Feb 2018
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Cascading failure
  • Complex networks
  • Correlated networks
  • Interdependent networks
  • Targeted attacks

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