Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/132833
Title: Geometric Correlations Mitigate the Extreme Vulnerability of Multiplex Networks against Targeted Attacks
Author: Kleineberg, Kaj-Kolja
Buzna, Lubos
Papadopoulos, Fragkiskos
Boguñá, Marián
Serrano Moral, Ma. Ángeles (María Ángeles)
Keywords: Sistemes complexos
Correlació (Estadística)
Complex systems
Correlation (Statistics)
Issue Date: 25-May-2017
Publisher: American Physical Society
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.
Note: Reproducció del document publicat a: https://doi.org/10.1103/PhysRevLett.118.218301
It is part of: Physical Review Letters, 2017, vol. 118, num. 21, p. 218301
URI: http://hdl.handle.net/2445/132833
Related resource: https://doi.org/10.1103/PhysRevLett.118.218301
ISSN: 0031-9007
Appears in Collections:Articles publicats en revistes (Institut de Recerca en Sistemes Complexos (UBICS))
Articles publicats en revistes (Física de la Matèria Condensada)

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