Common-knowledge networks for university strategic research planning

Abstract

We defined the concept of a common-knowledge network of authors in a research institution and used it to identify communities of authors using a new heuristic algorithm for clustering editing problem on weighted similarity measure networks. We analyzed dominant research topics based on most frequent keywords, publications and collaboration incident counts for each identified research community. Our methodology can be used to create multidisciplinary research clusters in universities and support senior management in setting investment strategies for fostering large-scale innovative collaborative initiatives across different disciplines.