Extracting and Utilizing Social Networks from Log Files of Shared Workspaces
Nasirifard, Peyman Peristeras, Vassilios Hayes, Conor Decker, Stefan
Nasirifard, Peyman
Peristeras, Vassilios
Hayes, Conor
Decker, Stefan
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Publication Date
2009
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Conference Paper
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Peyman 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.
Abstract
Log 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.
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Springer
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Attribution-NonCommercial-NoDerivs 3.0 Ireland