Automated Classification of Scientific Collaborations with Network Indicators

Abstract

In this paper we introduce a method and implementation to detect and classify specific episodes of scientific collaboration. Our method uses co-authorship networks and creates indicators for the discovery of temporal patterns of co-authoring. We apply the concept and implementation to scientific communities of the fields collaborative systems and social network analysis, to compare our findings to an earlier non-automated and small-scale analysis.