This work aims to investigate the role of individual scientists and their collaborations in enhancing the innovative performance of the Canadian nanotechnology innovation network. The study uses real data that consists of all the journal articles in nanotechnology field published within 1980-2012 by the authors affiliated to Canadian institutions, which were collected from Scopus database. The scientific networks have been created based on the co-authorship of the articles and an agent-based simulation model has been developed to study the innovation networks in their dynamic context. This research argues that the individual performance of authors with different network properties distinctively affect the overall efficiency and structure of the network.
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