Supporting strategic decision making in an enterprise university through detecting patterns of academic collaboration

摘要: Collaborative networks are a topic, broadly researched from several perspectives, including the social network analysis (SNA). The organisations take advantage results of SNA to determine collaborative channels, information fusion through such channels and key participants or groups in network. This work is focused on multi-facet academic collaboration, as it has been identified factor success growth global educational market. data sets include integrated about different aspects co-authorship, co-participation, co-supervision other related data. We explore concept interestingness its application field mining. Composing an appropriate interpretable set measures will benefit decision makers taking specific actions depending patterns these measures. In this study we focus interesting unexpectedness for score.