Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/10545
DC FieldValueLanguage
dc.contributor.authorKleineberg, Kaj-Kolja-
dc.contributor.authorBuzna, Lubos-
dc.contributor.authorPapadopoulos, Fragkiskos-
dc.contributor.authorBoguñá, Marián-
dc.contributor.authorSerrano, M. Ángeles-
dc.date.accessioned2017-11-21T10:23:06Z-
dc.date.available2017-11-21T10:23:06Z-
dc.date.issued2017-05-25-
dc.identifier.citationPhysical Review Letters, 2017, vol.118, no. 21en_US
dc.identifier.issn10797114-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/10545-
dc.description.abstractWe 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.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofPhysical Review Lettersen_US
dc.rights© American Physical Societyen_US
dc.subjectComplex systemsen_US
dc.subjectClusteringen_US
dc.subjectCascadesen_US
dc.subjectAttacks on networksen_US
dc.subjectTopological toolsen_US
dc.subjectPercolation phase transitionen_US
dc.titleGeometric Correlations Mitigate the Extreme Vulnerability of Multiplex Networks against Targeted Attacksen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationComputational Social Scienceen_US
dc.collaborationUniversity of Zilinaen_US
dc.collaborationUniversitat de Barcelonaen_US
dc.collaborationInstitució Catalana de Recerca i Estudis Avançats (ICREA)en_US
dc.subject.categoryPhysical Sciencesen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.countrySlovakiaen_US
dc.countrySpainen_US
dc.countrySwitzerlanden_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1103/PhysRevLett.118.218301en_US
dc.identifier.scopus2-s2.0-85019845256-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85019845256-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.relation.issue21en_US
dc.relation.volume118en_US
cut.common.academicyear2016-2017en_US
item.openairetypearticle-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.languageiso639-1en-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-4072-5781-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.journal.journalissn1079-7114-
crisitem.journal.publisherAmerican Physical Society-
Appears in Collections:Άρθρα/Articles
CORE Recommender
Show simple item record

SCOPUSTM   
Citations

39
checked on Mar 14, 2024

WEB OF SCIENCETM
Citations

34
Last Week
0
Last month
0
checked on Oct 29, 2023

Page view(s)

454
Last Week
1
Last month
8
checked on Jan 30, 2025

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.