The Community for Technology Leaders
2013 17th International Conference on Information Visualisation (2007)
Zurich, Switzerland
July 4, 2007 to July 6, 2007
ISSN: 1550-6037
ISBN: 0-7695-2900-3
pp: 425-430
Hideaki Takeda , National Institute of Informatics, Japan
Setsu Fujita , TriAx Corporation
Taichi Muraki , TriAx Corporation
Ryutaro Ichise , National Institute of Informatics, Japan
ABSTRACT
As information technology progress, we are able to obtain much information about the advanced research of others. As a result, researchers and research managers need to track the current research trends amid the information flood. In order to support these efforts to gather knowledge of current research, we propose a research trend mining method. The method utilizes an author-topic model for establishing the relationships between authors, topics, and papers by probabilities, and interactively visualizes the relationships using self-organizing maps. We implemented a research area mapping system and validated it with a case study. In addition, we conducted experiments to show the performance of our system. The experimental results indicate that this system can induce the appropriate relationships for finding research trends.
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CITATION
Hideaki Takeda, Setsu Fujita, Taichi Muraki, Ryutaro Ichise, "Research Mining using the Relationships among Authors, Topics and Papers", 2013 17th International Conference on Information Visualisation, vol. 00, no. , pp. 425-430, 2007, doi:10.1109/IV.2007.95
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