Link analysis for collaborative knowledge building

  • Authors:
  • Harris Wu;Michael D. Gordon;Kurt DeMaagd;Nathan Bos

  • Affiliations:
  • University of Michigan, Ann Arbor, MI;University of Michigan, Ann Arbor, MI;University of Michigan, Ann Arbor, MI;University of Michigan, Ann Arbor, MI

  • Venue:
  • Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
  • Year:
  • 2003

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Abstract

We present an ongoing research project utilizing navigation and hyperlink data to aid collaborative knowledge building. We allow collaborators to personally organize documents and other research resources and make references to them. We combine their personal organizations and references to develop a unified, hierarchical categorization of these resources. We analyze collaborators' navigations to identify prominent research activities as well as the key documents related to these activities. We examine prominence over time to identify research trends.