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dc.contributor.authorPhan, Binh
dc.contributor.authorEngø-Monsen, Kenth
dc.contributor.authorFjeldstad, Øystein D.
dc.date.accessioned2013-07-23T11:29:28Z
dc.date.available2013-07-23T11:29:28Z
dc.date.issued2013
dc.identifier.issn1879-2111 (e-utg)
dc.identifier.urihttp://hdl.handle.net/11250/93908
dc.descriptionThis is the authors’ final, accepted and refereed manuscriptno_NO
dc.description.abstractMeasures that estimate the clustering coefficients of ego and overall social networks are important to social network studies. Existing measures differ in how they define and estimate triplet clustering with implications for how network theoretic properties are reflected. In this paper, we propose a novel definition of triplet clustering for weighted and undirected social networks that explicitly considers the relative strength of the tie connecting the two alters of the ego in the triplet. We argue that our proposed definition better reflects theorized effects of the important third tie in the social network literature. We also develop new methods for estimating triplet, local and global clustering. Three different types of mathematical means, i.e. arithmetic, geometric, and quadratic, are used to reflect alternative theoretical assumptions concerning the marginal effect of tie substitution.no_NO
dc.language.isoengno_NO
dc.publisherElsevierno_NO
dc.subjectsocial networkno_NO
dc.subjectnetwork clusteringno_NO
dc.subjecttriplet clusteringno_NO
dc.subjectclustering measureno_NO
dc.subjecttie strengthno_NO
dc.titleConsidering clustering measures: third ties, means, and tripletsno_NO
dc.typeJournal articleno_NO
dc.typePeer reviewedno_NO
dc.source.pagenumber300-308no_NO
dc.source.volume35no_NO
dc.source.journalSocial Networksno_NO
dc.source.issue3no_NO
dc.identifier.doihttp://dx.doi.org/10.1016/j.socnet.2013.02.007


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