TY - GEN
T1 - Community mapping for cross-boundary research collaboration
AU - Konomi, Shin'Chi
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79960733296&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79960733296&partnerID=8YFLogxK
U2 - 10.1109/C5.2011.10
DO - 10.1109/C5.2011.10
M3 - Conference contribution
AN - SCOPUS:79960733296
SN - 9780769543635
T3 - Proceedings - 9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011
SP - 11
EP - 16
BT - Proceedings - 9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011
T2 - 9th International Conference on Creating, Connecting and Collaborating through Computing, C5 2011
Y2 - 18 January 2011 through 20 January 2011
ER -