Abstract
While R & D competition accelerates, the importance of understanding a promising research area at an early stage is increasing. But, most of promising research subjects is considered to reside in the interdisciplinary fusion areas, which are not yet established as a distinct discipline. To pursue the technique of grasping such promising interdisciplinary research area, in this paper, I propose the technique for grasping the scientific field with a higher granularity, and the technique for evaluating the interdisciplinarity of a researcher's academic portfolio.
I used bibliometric method "co-citation" to evaluate proximity of content of academic writings, and constructed the network structure using paper as the node and similarity relationship as edge. By applying Newman algorithm to partition those networks, detailed research area is defined. Using this detailed research area distinction, evaluation of longitudinal analysis of the diversity and researcher's interdisciplinarity from their research portfolio are achieved.
