A mining method of communities keeping tacit knowledge

被引:0
|
作者
Ichise, Ryutaro
Takeda, Hideaki
Kouno, Satoshi
Muraki, Taichi
机构
[1] Natl Inst Informat, Principles Informat Res Div, Chiyoda Ku, Tokyo 1018430, Japan
[2] TriAx Corp, Shibuya Ku, Tokyo 1510053, Japan
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The research community plays a very important role in holding valuable scientific knowledge. The authors propose a community mining system which helps to find communities of researchers by using bibliography data. The key features of our method are a network model of papers and a word assignment technique for the communities obtained. We implemented the proposed method in a graphical computer system. In this paper, we show how research communities are found using our system. Also, we evaluate the performance of the proposed method using experiments with real world data. The results demonstrate that our system can find appropriately sized research communities for a particular scientific field.
引用
收藏
页码:709 / 713
页数:5
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