Social network analysis of scientific collaborations across different subject fields.

This paper analyzes the level of scientific collaboration and interaction in different subject fields using a novel social network analysis SNA on a data set provided by the Department of Energy DOE Office of Scientific and Technologic Information OSTI in Oak Ridge, Tennessee. This paper not only determines the level of scientific collaboration between different disciplines, but it also analyzes the trends among the subject fields considered. The results in this paper show clear pattern recognition discovery on the social network model among key subject fields using weighted networks.