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Geometric Correlations Mitigate the Extreme Vulnerability of Multiplex Networks against Targeted Attacks Kleineberg, Kaj Kolja Buzna, Lubos Papadopoulos, Fragkiskos Boguñá, Marián Serrano Moral, Ma. Ángeles (María Ángeles) Sistemes complexos Correlació (Estadística) Complex systems Correlation (Statistics) 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. 2019-05-08T10:29:13Z 2019-05-08T10:29:13Z 2017-05-25 2019-05-08T10:29:13Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Reproducció del document publicat a: https://doi.org/10.1103/PhysRevLett.118.218301 Physical Review Letters, 2017, vol. 118, num. 21, p. 218301 https://doi.org/10.1103/PhysRevLett.118.218301 info:eu-repo/grantAgreement/EC/H2020/692058/EU//NOTRE (c) American Physical Society, 2017 info:eu-repo/semantics/openAccess American Physical Society Articles publicats en revistes (Física de la Matèria Condensada)