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Community Mapping for Cross-Boundary Research Collaboration

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1 Author(s)
Konomi, S. ; Center for Spatial Inf. Sci., Univ. of Tokyo, Chiba, Japan

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. Initial experiences with the community mapping tool suggest a possibility to facilitate the process of initiating cross-boundary research collaboration using multiple network structures.

Published in:

Creating, Connecting and Collaborating through Computing (C5), 2011 Ninth International Conference on

Date of Conference:

18-20 Jan. 2011