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Τίτλος: Geometric Correlations Mitigate the Extreme Vulnerability of Multiplex Networks against Targeted Attacks
Συγγραφείς: Kleineberg, Kaj-Kolja 
Buzna, Lubos 
Papadopoulos, Fragkiskos 
Boguñá, Marián 
Serrano, M. Ángeles 
Major Field of Science: Natural Sciences
Field Category: Physical Sciences
Λέξεις-κλειδιά: Complex systems;Clustering;Cascades;Attacks on networks;Topological tools;Percolation phase transition
Ημερομηνία Έκδοσης: 25-Μαΐ-2017
Πηγή: Physical Review Letters, 2017, vol.118, no. 21
Volume: 118
Issue: 21
Περιοδικό: Physical Review Letters 
Περίληψη: 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: https://hdl.handle.net/20.500.14279/10545
ISSN: 10797114
DOI: 10.1103/PhysRevLett.118.218301
Rights: © American Physical Society
Type: Article
Affiliation: Cyprus University of Technology 
Computational Social Science 
University of Zilina 
Universitat de Barcelona 
Institució Catalana de Recerca i Estudis Avançats (ICREA) 
Publication Type: Peer Reviewed
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