Discovery of emerging topics by co-citation graph on the Web

被引：0

作者：

Matsumura, N ^{[1
]}

Ohsawa, Y ^{[1
]}

Ishizuka, M ^{[1
]}

机构：

[1] Univ Tokyo, Grad Sch Engn, Bunkyo Ku, Tokyo 1138656, Japan

来源：

KNOWLEDGE-BASED INTELLIGENT INFORMATION ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, PTS 1 AND 2 | 2001年 / 69卷

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：

Discovering new topics covering profitable items and ideas (e.g., mobile phone. global warming, human genome project, etc) is important and interesting. However. since we cannot completely encode the world surrounding us, it's difficult to detect such topics and their mechanisms in advance. In order to support the detection, we show a method for revealing the structure of WWW by using the KeyGraph algorithm. Empirical results are reported.

引用

页码：1178 / 1182

页数：5

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