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Ranking Vicarious Learners in Research Collaboration Networks

  • Andrea Tagarelli
  • Roberto Interdonato
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8279)

Abstract

Despite being a topic of growing interest in social learning theory, vicarious learning has not been well-studied so far in digital library related tasks. In this paper, we address a novel ranking problem in research collaboration networks, which focuses on the role of vicarious learner. We introduce a topology-driven vicarious learning definition and propose the first centrality method for ranking vicarious learners. Results obtained on DBLP networks support the significance and uniqueness of the proposed approach.

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Andrea Tagarelli
    • 1
  • Roberto Interdonato
    • 1
  1. 1.DIMESUniversity of CalabriaItaly

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