Exploration of researchers' social network for discovering communities

Authors:
Ryutaro Ichise;Hideaki Takeda;Kosuke Ueyama
Affiliations:
National Institute of Informatics, Tokyo, Japan;National Institute of Informatics, Tokyo, Japan;TRIAX Inc., Tokyo, Japan
Venue:
JSAI'05 Proceedings of the 2005 international conference on New Frontiers in Artificial Intelligence
Year:
2006

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Relationship visualization between books and users based on mining library circulation data

Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia

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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.