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
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