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 language | English |
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Title of host publication | Proceedings - 9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011 |
Pages | 11-16 |
Number of pages | 6 |
DOIs | |
Publication status | Published - Jul 29 2011 |
Externally published | Yes |
Event | 9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011 - Kyoto, Japan Duration: Jan 18 2011 → Jan 20 2011 |
Other
Other | 9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011 |
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Country/Territory | Japan |
City | Kyoto |
Period | 1/18/11 → 1/20/11 |
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Computer Science Applications