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 |
|---|---|
| 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 |
|---|---|
| Country | Japan |
| City | Kyoto |
| Period | 1/18/11 → 1/20/11 |
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Computer Science Applications
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Cite this
Konomi, S. (2011). Community mapping for cross-boundary research collaboration. In Proceedings - 9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011 (pp. 11-16). [5936685] https://doi.org/10.1109/C5.2011.10