Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23203
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dc.contributor.authorOsat, Saeed-
dc.contributor.authorRadicchi, Filippo-
dc.contributor.authorPapadopoulos, Fragkiskos-
dc.date.accessioned2021-10-08T06:48:20Z-
dc.date.available2021-10-08T06:48:20Z-
dc.date.issued2020-07-
dc.identifier.citationPhysical Review Research, 2020, vol. 2, no. 2, articl. no. 023176en_US
dc.identifier.issn26431564-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/23203-
dc.description.abstractMultiplex networks are convenient mathematical representations for many real-world—biological, social, and technological—systems of interacting elements, where pairwise interactions among elements have different flavors. Previous studies pointed out that real-world multiplex networks display significant interlayer correlations—degree-degree correlation, edge overlap, node similarities—able to make them robust against random and targeted failures of their individual components. Here, we show that interlayer correlations are important also in the characterization of their k-core structure, namely, the organization in shells of nodes with an increasingly high degree. Understanding of k-core structures is important in the study of spreading processes taking place on networks, as for example in the identification of influential spreaders and the emergence of localization phenomena. We find that, if the degree distribution of the network is heterogeneous, then a strong k-core structure is well predicted by significantly positive degree-degree correlations. However, if the network degree distribution is homogeneous, then strong k-core structure is due to positive correlations at the level of node similarities. We reach our conclusions by analyzing different real-world multiplex networks, introducing novel techniques for controlling interlayer correlations of networks without changing their structure, and taking advantage of synthetic network models with tunable levels of interlayer correlations.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofPhysical Review Researchen_US
dc.rights© The Author(s). Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectk-coreen_US
dc.subjectReal-world networksen_US
dc.subjectNetwork hyperbolic embeddingen_US
dc.titlek-core structure of real multiplex networksen_US
dc.typeArticleen_US
dc.collaborationSkolkovo Institute of Science and Technologyen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationIndiana University Bloomingtonen_US
dc.subject.categoryPhysical Sciencesen_US
dc.journalsOpen Accessen_US
dc.countryRussiaen_US
dc.countryUnited Statesen_US
dc.countryCyprusen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1103/PhysRevResearch.2.023176en_US
dc.identifier.scopus2-s2.0-85090335457-
dc.identifier.urlhttp://arxiv.org/abs/1911.10743v2-
dc.relation.issue2en_US
dc.relation.volume2en_US
cut.common.academicyear2019-2020en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.languageiso639-1en-
item.fulltextWith Fulltext-
crisitem.journal.journalissn2643-1564-
crisitem.journal.publisherAmerican Physical Society-
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-
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