| 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.
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 Additional Information
|
Citation:
Ryutaro Ichise, Hideaki Takeda, Taichi Muraki,
"Research Community Mining with Topic Identification,"
iv,
pp. 276-281,
Tenth International Conference on Information Visualisation (IV'06),
2006
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