Modeling the Role of Relationship Fading and Breakup in Social Network Formation

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en Murase, Yohsuke Jo, Hang Hyun Török, János Kertész, János Kaski, Kimmo 2017-01-19T10:51:22Z 2015-07-15
dc.identifier.citation Murase , Y , Jo , H H , Török , J , Kertész , J & Kaski , K 2015 , ' Modeling the Role of Relationship Fading and Breakup in Social Network Formation ' PLOS ONE , vol 10 , no. 7 , e0133005 . DOI: 10.1371/journal.pone.0133005 en
dc.identifier.issn 1932-6203
dc.identifier.other PURE UUID: 2435e2d8-0f87-4167-a5f8-8886e2b2f443
dc.identifier.other PURE ITEMURL:
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dc.description.abstract In social networks of human individuals, social relationships do not necessarily last forever as they can either fade gradually with time, resulting in "link aging," or terminate abruptly, causing "link deletion," as even old friendships may cease. In this paper, we study a social network formation model where we introduce several ways by which a link termination takes place. If we adopt the link aging, we get a more modular structure with more homogeneously distributed link weights within communities than when link deletion is used. By investigating distributions and relations of various network characteristics, we find that the empirical findings are better reproduced with the link deletion model. This indicates that link deletion plays a more prominent role in organizing social networks than link aging. en
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries PLOS ONE en
dc.relation.ispartofseries Volume 10, issue 7 en
dc.rights openAccess en
dc.subject.other Agricultural and Biological Sciences(all) en
dc.subject.other Biochemistry, Genetics and Molecular Biology(all) en
dc.subject.other Medicine(all) en
dc.subject.other 113 Computer and information sciences en
dc.title Modeling the Role of Relationship Fading and Breakup in Social Network Formation en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Computer Science
dc.subject.keyword Agricultural and Biological Sciences(all)
dc.subject.keyword Biochemistry, Genetics and Molecular Biology(all)
dc.subject.keyword Medicine(all)
dc.subject.keyword 113 Computer and information sciences
dc.identifier.urn URN:NBN:fi:aalto-201701191117
dc.identifier.doi 10.1371/journal.pone.0133005
dc.type.version publishedVersion

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