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Article: Clustering in Geo-Social Networks

TitleClustering in Geo-Social Networks
Authors
Issue Date2015
PublisherIEEE, Computer Society. The Journal's web site is located at http://sites.computer.org/debull/bull_issues.html
Citation
Bulletin of the Technical Committee on Data Engineering, 2015, v. 38 n. 2, p. 47-57 How to Cite?
Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 2015, v. 38 n. 2, p. 47-57 How to Cite?
AbstractThe rapid growth of Geo-Social Networks (GeoSNs) provides a new and rich form of data. Users of GeoSNs can capture their geographic locations and share them with other users via an operation named checkin. Thus, GeoSNs can track the connections (and the time of these connections) of geographic data to their users. In addition, the users are organized in a social network, which can be extended to a heterogeneous network if the connections to places via checkins are also considered. The goal of this paper is to analyze the opportunities in clustering this rich form of data. We first present a model for clustering geographic locations, based on GeoSN data. Then, we discuss how this model can be extended to consider temporal information from checkins. Finally, we study how the accuracy of community detection approaches can be improved by taking into account the checkins of users in a GeoSN.
Persistent Identifierhttp://hdl.handle.net/10722/212282

 

DC FieldValueLanguage
dc.contributor.authorWu, D-
dc.contributor.authorMamoulis, N-
dc.contributor.authorShi, J-
dc.date.accessioned2015-07-21T02:30:44Z-
dc.date.available2015-07-21T02:30:44Z-
dc.date.issued2015-
dc.identifier.citationBulletin of the Technical Committee on Data Engineering, 2015, v. 38 n. 2, p. 47-57-
dc.identifier.citationBulletin of the IEEE Computer Society Technical Committee on Data Engineering, 2015, v. 38 n. 2, p. 47-57-
dc.identifier.urihttp://hdl.handle.net/10722/212282-
dc.description.abstractThe rapid growth of Geo-Social Networks (GeoSNs) provides a new and rich form of data. Users of GeoSNs can capture their geographic locations and share them with other users via an operation named checkin. Thus, GeoSNs can track the connections (and the time of these connections) of geographic data to their users. In addition, the users are organized in a social network, which can be extended to a heterogeneous network if the connections to places via checkins are also considered. The goal of this paper is to analyze the opportunities in clustering this rich form of data. We first present a model for clustering geographic locations, based on GeoSN data. Then, we discuss how this model can be extended to consider temporal information from checkins. Finally, we study how the accuracy of community detection approaches can be improved by taking into account the checkins of users in a GeoSN.-
dc.languageeng-
dc.publisherIEEE, Computer Society. The Journal's web site is located at http://sites.computer.org/debull/bull_issues.html-
dc.relation.ispartofBulletin of the Technical Committee on Data Engineering-
dc.relation.ispartofBulletin of the IEEE Computer Society Technical Committee on Data Engineering-
dc.rightsBulletin of the Technical Committee on Data Engineering. Copyright © IEEE, Computer Society.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.titleClustering in Geo-Social Networks-
dc.typeArticle-
dc.identifier.emailWu, D: dmwu@cs.hku.hk-
dc.identifier.emailMamoulis, N: nikos@cs.hku.hk-
dc.identifier.authorityMamoulis, N=rp00155-
dc.description.naturepublished_or_final_version-
dc.identifier.hkuros244979-
dc.identifier.volume38-
dc.identifier.issue2-
dc.identifier.spage47-
dc.identifier.epage57-
dc.publisher.placeUnited States-

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