Extracting and Utilizing Social Networks from Log Files of Shared Workspaces

نویسندگان

  • Peyman Nasirifard
  • Vassilios Peristeras
  • Conor Hayes
  • Stefan Decker
چکیده

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 usercentric 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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تاریخ انتشار 2009