Identification of Researchers and Its application -- In the Case of Statistics and Materials Science field --

Abstract

As an application for data mining from a large scale database manually built, we have constructed and analyzed academic researcher networks. We have used Kakenhi database as a master database for this purpose. And then we have picked two dataset as a first target: One is researchers from members of three academic societies in Statistics related field; and the other is from members of National Institute for Materials Science. An analysis and comparison on these types of researcher networks shows their different characteristics.