Extracting and Utilizing Social Networks from Log Files of Shared Workspaces

  • Peyman Nasirifard
  • Vassilios Peristeras
  • Conor Hayes
  • Stefan Decker
Conference paper

DOI: 10.1007/978-3-642-04568-4_66

Volume 307 of the book series IFIP Advances in Information and Communication Technology (IFIPAICT)
Cite this paper as:
Nasirifard P., Peristeras V., Hayes C., Decker S. (2009) Extracting and Utilizing Social Networks from Log Files of Shared Workspaces. In: Camarinha-Matos L.M., Paraskakis I., Afsarmanesh H. (eds) Leveraging Knowledge for Innovation in Collaborative Networks. PRO-VE 2009. IFIP Advances in Information and Communication Technology, vol 307. Springer, Berlin, Heidelberg

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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Copyright information

© IFIP International Federation for Information Processing 2009

Authors and Affiliations

  • Peyman Nasirifard
    • 1
  • Vassilios Peristeras
    • 1
  • Conor Hayes
    • 1
  • Stefan Decker
    • 1
  1. 1.Digital Enterprise Research InstituteNational University of Ireland, GalwayGalwayIreland