Community mapping for cross-boundary research collaboration

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011
Pages11-16
Number of pages6
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011 - Kyoto, Japan
Duration: Jan 18 2011Jan 20 2011

Publication series

NameProceedings - 9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011

Other

Other9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011
Country/TerritoryJapan
CityKyoto
Period1/18/111/20/11

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications

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