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Tenth International Conference on Information Visualisation (IV'06)
Research Community Mining with Topic Identification
London, England
July 05-July 07
ISBN: 0-7695-2602-0
Ryutaro Ichise, National Institute of Informatics
Hideaki Takeda, National Institute of Informatics
Taichi Muraki, TriAx Corporation
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.
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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