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Ranking Vicarious Learners in Research Collaboration Networks

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Book cover Digital Libraries: Social Media and Community Networks (ICADL 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8279))

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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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Author information

Authors and Affiliations

  1. DIMES, University of Calabria, Italy

    Andrea Tagarelli & Roberto Interdonato

Authors
  1. Andrea Tagarelli
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  2. Roberto Interdonato
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Editor information

Editors and Affiliations

  1. International School of Information Management, University of Mysore, Mysore, India

    Shalini R. Urs

  2. Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore

    Jin-Cheon Na

  3. School of Informatics, City University London, London, UK

    George Buchanan

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© 2013 Springer International Publishing Switzerland

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Tagarelli, A., Interdonato, R. (2013). Ranking Vicarious Learners in Research Collaboration Networks. In: Urs, S.R., Na, JC., Buchanan, G. (eds) Digital Libraries: Social Media and Community Networks. ICADL 2013. Lecture Notes in Computer Science, vol 8279. Springer, Cham. https://doi.org/10.1007/978-3-319-03599-4_11

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  • DOI: https://doi.org/10.1007/978-3-319-03599-4_11

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03598-7

  • Online ISBN: 978-3-319-03599-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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