Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/7775
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dc.contributor.authorFiliposka, Sonjaen_US
dc.contributor.authorAndrej Gajduken_US
dc.contributor.authorTamara Dimitrovaen_US
dc.contributor.authorKocarev, Ljupcoen_US
dc.date.accessioned2020-04-26T06:24:33Z-
dc.date.available2020-04-26T06:24:33Z-
dc.date.issued2016-05-06-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/7775-
dc.description.abstractWe show that three basic actor characteristics, namely normalized reciprocity, three cycles, and triplets, can be expressed using an unified framework that is based on computing the similarity index between two sets associated with the actor: the set of her/his friends and the set of those considering her/him as a friend. These metrics are extended to multiplex networks and then computed for two friendship networks generated by collecting data from two groups of undergraduate students. We found that in offline communication strong and weak ties are (almost) equally presented, while in online communication weak ties are dominant. Moreover, weak ties are much less reciprocal than strong ties. However, across different layers of the multiplex network reciprocities are preserved, while triads (measured with normalized three cycles and triplets) are not significant.en_US
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.relation.ispartofPhysica A: Statistical Mechanics and its Applicationsen_US
dc.subjectcs.SIen_US
dc.subjectcs.SIen_US
dc.subjectPhysics - Physics and Societyen_US
dc.titleBridging Online and Offline Social Networks: Multiplex Analysisen_US
dc.typeJournal Articleen_US
dc.identifier.doi10.1016/j.physa.2016.12.050-
dc.identifier.urlhttps://api.elsevier.com/content/article/PII:S0378437116310378?httpAccept=text/xml-
dc.identifier.urlhttps://api.elsevier.com/content/article/PII:S0378437116310378?httpAccept=text/plain-
dc.identifier.volume471-
dc.identifier.fpage825-
dc.identifier.lpage836-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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