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dc.contributor.authorAl-Kouz, Akram
dc.contributor.authorLuca, Ernesto William de
dc.contributor.authorAlbayrak, Sahin
dc.contributor.editorEichler, Gerald
dc.contributor.editorKüpper, Axel
dc.contributor.editorSchau, Volkmar
dc.contributor.editorFouchal, Hacène
dc.contributor.editorUnger, Herwig
dc.contributor.editorEichler, Gerald
dc.contributor.editorKüpper, Axel
dc.contributor.editorSchau, Volkmar
dc.contributor.editorFouchal, Hacène
dc.contributor.editorUnger, Herwig
dc.date.accessioned2019-01-11T09:29:02Z
dc.date.available2019-01-11T09:29:02Z
dc.date.issued2011
dc.identifier.isbn978-3-88579-280-2
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/18982
dc.description.abstractExpert finding systems employ social networks analysis and natural language processing to identify candidate experts in organization or enterprise datasets based on a user's profile, her documents, and her interaction with other users. Expert discovery in public social networks such as Facebook faces the challenges of matching users to a wide range of expertise areas, because of the diverse human interests. In this paper we analyze the social graph and the user's interactions in the form of posts and group memberships to model user interests and fields of expertise. The proposed model reflects expertise and interests of users based on experimental analysis of the explicit and implicit social data in Online Social Networks (OSNs). It employs social networks analysis, text mining, text classification, and semantic text similarity techniques to analyze and discover the latent semantic social graph model that can express user's expertise. The proposed model also considers the semantic similarity between user's posts and his groups, Influence of friendship on group's membership, and Influence of friendship on user's posts. Experiments on the Facebook data show significant validity of the proposed model.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof11th International Conference on Innovative Internet Community Systems (I2CS 2011)
dc.relation.ispartof11th International Conference on Innovative Internet Community Systems (I2CS 2011)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-186
dc.titleLatent semantic social graph model for expert discovery in Facebooken
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages128-138
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationBerlin
mci.conference.dateJune 15-17, 2011


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