Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/10545
Title: Geometric correlations mitigate the extreme vulnerability of multiplex networks against targeted attacks
Authors: Kleineberg, Kaj-Kolja 
Buzna, Lubos 
Papadopoulos, Fragkiskos 
Boguñá, Marián 
Serrano, M. Ángeles 
Keywords: Complex systems;Clustering;Cascades;Attacks on networks;Topological tools;Percolation phase transition
Category: Physical Sciences
Field: Natural Sciences
Issue Date: 8-Feb-2017
Publisher: American Physical Society
Source: PHYSICAL REVIEW LETTERS, Volume: 118, Issue: 21, Article Number: 218301, Published: MAY 25 2017
metadata.dc.doi: http://dx.doi.org/10.1103/PhysRevLett.118.218301
Journal: Phys. Rev. Lett. 118, 218301 (2017)
Abstract: We show that real multiplex networks are unexpectedly robust against targeted attacks on high-degree nodes and that hidden interlayer geometric correlations predict this robustness. Without geometric correlations, multiplexes exhibit an abrupt breakdown of mutual connectivity, even with interlayer degree correlations. With geometric correlations, we instead observe a multistep cascading process leading into a continuous transition, which apparently becomes fully continuous in the thermodynamic limit. Our results are important for the design of efficient protection strategies and of robust interacting networks in many domains.
URI: http://ktisis.cut.ac.cy/handle/10488/10545
ISSN: 0031-9007
Rights: © 2017 American Physical Society
Type: Article
Appears in Collections:Άρθρα/Articles

Show full item record

Page view(s)

11
Last Week
2
Last month
checked on Dec 13, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.