Sampling Bias in User Attribute Estimation of OSNs

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dc.contributor.authorMoon, Sue Bokko
dc.contributor.authorPark, Hosungko
dc.date.accessioned2019-04-15T22:11:59Z-
dc.date.available2019-04-15T22:11:59Z-
dc.date.created2013-07-04-
dc.date.created2013-07-04-
dc.date.created2013-07-04-
dc.date.created2013-07-04-
dc.date.created2013-07-04-
dc.date.issued2013-04-17-
dc.identifier.citation22nd International Conference on World Wide Web, WWW 2013, pp.183 - 184-
dc.identifier.urihttp://hdl.handle.net/10203/258697-
dc.description.abstractRecent work on unbiased sampling of OSNs has focused on estimation of the network characteristics such as degree distributions and clustering coefficients. In this work we shift the focus to node attributes. We show that existing sampling methods produce biased outputs and need modifications to alleviate the bias.-
dc.languageEnglish-
dc.publisherInternational World Wide Web Conference Committee-
dc.titleSampling Bias in User Attribute Estimation of OSNs-
dc.typeConference-
dc.identifier.wosid000722374300082-
dc.identifier.scopusid2-s2.0-84893064411-
dc.type.rimsCONF-
dc.citation.beginningpage183-
dc.citation.endingpage184-
dc.citation.publicationname22nd International Conference on World Wide Web, WWW 2013-
dc.identifier.conferencecountryBL-
dc.identifier.conferencelocationRio de Janeiro-
dc.identifier.doi10.1145/2487788.2487880-
dc.contributor.localauthorMoon, Sue Bok-
dc.contributor.nonIdAuthorPark, Hosung-
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CS-Conference Papers(학술회의논문)
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