Community Mapping for Cross-Boundary Research Collaboration

  • Authors:

  • Shinichi Konomi

  • Affiliations:

  • -

  • Venue:
  • C5 '11 Proceedings of the 2011 Ninth International Conference on Creating, Connecting and Collaborating through Computing
  • Year:
  • 2011

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Abstract

Making sense of research community patterns can be a challenging task since they are often complex, dynamic, and inseparable from the "messiness" of the real world. This paper introduces a data-centric community mapping tool that extracts and visualizes research communities in Computer Science, based on the DBLP publication database [1]. Initial experiences with the community mapping tool suggest a possibility to facilitate the process of initiating cross-boundary research collaboration using multiple network structures.