Cascading failures in anisotropic interdependent networks of spatial modular structures

Dana Vaknin, Amir Bashan, Lidia A. Braunstein, Sergey V. Buldyrev, Shlomo Havlin

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


The structure of real-world multilayer infrastructure systems usually exhibits anisotropy due to constraints of the embedding space. For example, geographical features like mountains, rivers and shores influence the architecture of critical infrastructure networks. Moreover, such spatial networks are often non-homogeneous but rather have a modular structure with dense connections within communities and sparse connections between neighboring communities. When the networks of the different layers are interdependent, local failures and attacks may propagate throughout the system. Here we study the robustness of spatial interdependent networks which are both anisotropic and heterogeneous. We also evaluate the effect of localized attacks having different geometrical shapes. We find that anisotropic networks are more robust against localized attacks and that anisotropic attacks, surprisingly, even on isotropic structures, are more effective than isotropic attacks.

Original languageEnglish
Article number113001
JournalNew Journal of Physics
Issue number11
StatePublished - Nov 2021

Bibliographical note

Publisher Copyright:
© 2021 The Author(s). Published by IOP Publishing Ltd on behalf of the Institute of Physics and Deutsche Physikalische Gesellschaft


  • Network theory
  • Percolation theory
  • Statistical physics


Dive into the research topics of 'Cascading failures in anisotropic interdependent networks of spatial modular structures'. Together they form a unique fingerprint.

Cite this