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|Title:||Geometric correlations mitigate the extreme vulnerability of multiplex networks against targeted attacks||Authors:||Kleineberg, Kaj-Kolja
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|
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