Ichise R. Takeda H. Ueyama K. "Exploration of researchers' social network for discovering communities " New Frontiers in AI Lecture Notes in Artificial Intelligence 4012: 458-469 2006

[Eugene Garfield]

E-MAIL ADDRESSES:
Ryutaro Ichise : ichise at nii.ac.jp
Hideaki Takeda : takeda at nii.ac.jp
Kosuke Ueyama : ko at triax.jp

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FULL TEXT AVAILABLE AT : http://www-
kasm.nii.ac.jp/papers/takeda/06/ichise05posjsai06.pdf

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Title: Exploration of researchers' social network for discovering 
communities 

Author(s): Ichise R (Ichise, Ryutaro), Takeda H (Takeda, Hideaki), Ueyama K 
(Ueyama, Kosuke) 

Source: NEW FRONTIERS IN ARTIFICIAL INTELLIGENCE LECTURE NOTES IN 
ARTIFICIAL INTELLIGENCE 4012: 458-469 2006 

Document Type: Article 
Language: English 
Cited References: 8      Times Cited: 0   
     
Abstract: 
The research community plays a very important role in helping researchers 
undertake new research topics. The authors propose a community mining 
system that helps to find communities of researchers by using bibliography 
data. The basic concept of this system is to provide interactive 
visualization of communities both local and global communities. We 
implemented this concept using actual bibliography data and present a case 
study using the proposed system. 

Addresses: Ichise R (reprint author), Natl Inst Informat, Chiyoda Ku, 2-1-2 
Hitotsubashi, Tokyo 1018430, Japan

Natl Inst Informat, Chiyoda Ku, Tokyo 1018430, Japan

TRIAX Inc, Shinjyuku Ku, Tokyo 1690075, Japan

E-mail Addresses: ichise at nii.ac.jp, takeda at nii.ac.jp, ko at triax.jp 

Publisher: SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, 
GERMANY 

Subject Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 
IDS Number: BEV23 

ISSN: 0302-9743 

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