Research Community Mining with Topic Identification

Authors:
Ryutaro Ichise;Hideaki Takeda;Taichi Muraki
Affiliations:
National Institute of Informatics;National Institute of Informatics;TriAx Corporation
Venue:
IV '06 Proceedings of the conference on Information Visualization
Year:
2006

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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.