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. © 2009 IFIP.
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CITATION STYLE
Nasirifard, P., Peristeras, V., Hayes, C., & Decker, S. (2009). Extracting and utilizing social networks from log files of shared workspaces. In IFIP Advances in Information and Communication Technology (Vol. 307, pp. 643–650). Springer New York. https://doi.org/10.1007/978-3-642-04568-4_66
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