Collaboration network analysis for competitive intelligence

The analysis of collaborations is an important aspect of competitive intelligence studies. Collaborations show who players turn to in order to gain access to external knowledge. Networks are often used to analyze collaborations. However, analyzing networks that become increasingly large, especially in a dynamic setting, is a difficult task. Communication on these questions is complex for the same reason. In this paper I propose a method that allows for the identification of collaboration strategies in a static and dynamic setting that also makes it easier to communicate the results. An application of the method is also provided to illustrate how the method can be used for competitive intelligence studies.