DocumentCode :
2164048
Title :
Research Community Mining with Topic Identification
Author :
Ichise, Ryutaro ; Takeda, Hideaki ; Muraki, Taichi
Author_Institution :
Principles of Informatics Res. Div., National Inst. of Informatics, Tokyo
fYear :
2006
fDate :
5-7 July 2006
Firstpage :
276
Lastpage :
281
Abstract :
Since research trends can change dynamically, researchers have to keep up with these new trends and undertake new research topics. Therefore, research communities for new research domains are important. In this paper, we propose a method to discover research communities. The key features of our method are a network model of papers and a word assignment technique for the communities obtained. We show our system based on the proposed method and discuss our system through case studies and experiments
Keywords :
data mining; research and development management; research community mining; topic identification; word assignment technique; Bibliographies; Collaborative work; Informatics; Information technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualization, 2006. IV 2006. Tenth International Conference on
Conference_Location :
London, England
ISSN :
1550-6037
Print_ISBN :
0-7695-2602-0
Type :
conf
DOI :
10.1109/IV.2006.92
Filename :
1648273
Link To Document :
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