dc.contributor.author
Kleineberg, Kaj Kolja
dc.contributor.author
Buzna, Lubos
dc.contributor.author
Papadopoulos, Fragkiskos
dc.contributor.author
Boguñá, Marián
dc.contributor.author
Serrano Moral, Ma. Ángeles (María Ángeles)
dc.date.issued
2019-05-08T10:29:13Z
dc.date.issued
2019-05-08T10:29:13Z
dc.date.issued
2017-05-25
dc.date.issued
2019-05-08T10:29:13Z
dc.identifier
https://hdl.handle.net/2445/132833
dc.description.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.
dc.format
application/pdf
dc.publisher
American Physical Society
dc.relation
Reproducció del document publicat a: https://doi.org/10.1103/PhysRevLett.118.218301
dc.relation
Physical Review Letters, 2017, vol. 118, num. 21, p. 218301
dc.relation
https://doi.org/10.1103/PhysRevLett.118.218301
dc.relation
info:eu-repo/grantAgreement/EC/H2020/692058/EU//NOTRE
dc.rights
(c) American Physical Society, 2017
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Física de la Matèria Condensada)
dc.subject
Sistemes complexos
dc.subject
Correlació (Estadística)
dc.subject
Complex systems
dc.subject
Correlation (Statistics)
dc.title
Geometric Correlations Mitigate the Extreme Vulnerability of Multiplex Networks against Targeted Attacks
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion