Abstracts of Annual Conference of Japan Society for Management Information
Annual Conference of Japan Society for Management Information 2008 Autumn
Session ID : B2-3
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Analysis of RD division by Patent Text Mining
*yurie iinosachio hirokawa
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Abstract
This paper proposes a method to analyse the research and development division of a enterprise based on the patent information of the company. This paper reports results the method applied to real companies. The relationship of the inventors of patents are analyzed using co-occurrences and are visualized as a graph. The graph reveals who is the key researcher and how may supporting researchers are working in a group. By changing the parameter of relation-strength between researchers, a characteristic of each company appears as the change rate of the graph. The rate reveals how each group of researchers influence tightly or sparsely.
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© 2008 by Japan Society for Management Information
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