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dc.contributor.authorNasirifard, Peymanen
dc.contributor.authorPeristeras, Vassiliosen
dc.contributor.authorHayes, Conoren
dc.contributor.authorDecker, Stefanen
dc.identifier.citationPeyman Nasirifard, Vassilios Peristeras, Conor Hayes, Stefan Decker "Extracting and Utilizing Social Networks from Log Files of Shared Workspaces", Proceedings of the 10th IFIP Working Conference on Virtual Enterprises, Springer, 2009.en
dc.description.abstractLog files of online shared workspaces contain rich information that can be further analyzed. In this paper, log-file information is used to extract object-centric and user-centric social networks. The object-centric social networks are used as a means for assigning concept-based expertise elements to users based on the documents that they created, revised or read. The user-centric social networks are derived from users working on common documents. Weights, called the Cooperation Index, are assigned to links between users in a user-centric social network, which indicates how closely two people have collaborated together, based on their history. We also present a set of tools that was developed to realize our approach.en
dc.subject.lcshInternet in educationen
dc.subject.lcshInternet - social aspectsen
dc.subject.lcshComputer networks - social aspectsen
dc.subject.lcshSemantic weben
dc.titleExtracting and Utilizing Social Networks from Log Files of Shared Workspacesen
dc.typeConference Paperen
dc.local.publisherstatementThe original publication is available at www.springerlink.comen

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