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Conference Paper: Identifying personality-based communities in social networks

TitleIdentifying personality-based communities in social networks
Authors
Issue Date2014
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The 2013 ER Workshops, LSAWM, MoBiD, RIGiM, SeCoGIS, WISM, DaSeM, SCME, and PhD Symposium, Hong Kong, China, 11-13 November 2013. In Lecture Notes in Computer Science, 2014, v. 8697, p. 7-13 How to Cite?
AbstractIn this paper we present a novel algorithm for forming communities in a graph representing social relations as they emerge from the use of services like Twitter. The main idea centers in the careful use of features to characterize the members in the community, and in the hypothesis that well formed communities are those that designate diversity in the features of the participating members.
DescriptionLNCS v. 8697 entitled: Advances in conceptual modeling: ER 2013 Workshops, LSAWM, MoBiD, RIGiM, SeCoGIS, WISM, DaSeM, SCME, and PhD Symposium, Hong Kong ... 2013, Revised Selected Papers
Persistent Identifierhttp://hdl.handle.net/10722/207814
ISBN
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252

 

DC FieldValueLanguage
dc.contributor.authorKafeza, Een_US
dc.contributor.authorKanavos, Aen_US
dc.contributor.authorMakris, Cen_US
dc.contributor.authorChiu, DKWen_US
dc.date.accessioned2015-01-19T11:03:36Z-
dc.date.available2015-01-19T11:03:36Z-
dc.date.issued2014en_US
dc.identifier.citationThe 2013 ER Workshops, LSAWM, MoBiD, RIGiM, SeCoGIS, WISM, DaSeM, SCME, and PhD Symposium, Hong Kong, China, 11-13 November 2013. In Lecture Notes in Computer Science, 2014, v. 8697, p. 7-13en_US
dc.identifier.isbn978-3-319-14138-1en_US
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10722/207814-
dc.descriptionLNCS v. 8697 entitled: Advances in conceptual modeling: ER 2013 Workshops, LSAWM, MoBiD, RIGiM, SeCoGIS, WISM, DaSeM, SCME, and PhD Symposium, Hong Kong ... 2013, Revised Selected Papers-
dc.description.abstractIn this paper we present a novel algorithm for forming communities in a graph representing social relations as they emerge from the use of services like Twitter. The main idea centers in the careful use of features to characterize the members in the community, and in the hypothesis that well formed communities are those that designate diversity in the features of the participating members.en_US
dc.languageengen_US
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.rightsThe original publication is available at www.springerlink.com-
dc.titleIdentifying personality-based communities in social networksen_US
dc.typeConference_Paperen_US
dc.identifier.emailChiu, DKW: dchiu88@hku.hken_US
dc.identifier.doi10.1007/978-3-319-14139-8_2en_US
dc.identifier.scopuseid_2-s2.0-84919629316-
dc.identifier.hkuros242094en_US
dc.identifier.volume8697en_US
dc.identifier.spage7en_US
dc.identifier.epage13en_US
dc.publisher.placeGermany-
dc.customcontrol.immutablesml 150217-

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