Intertemporal network analysis reveals scale-free organization and persistent hierarchical structures across knowledge flows, demonstrating the emergence of a global innovation system.
This paper investigates a structural change: the emergence of a Global Innovation System (GIS). Focusing on international knowledge flows (IKFs), we organize a network in three layers according to the type of IKF that connects the institutions: scientific collaboration, patent citation or article citation in patents. We investigate how those three layers overlap and entangle, forming a network of networks. We found that each layer follows a free-scale network structure associated with a self-organized system and creates an intrinsic hierarchy. The subnetwork that connects the three layers is also a free-scale network. The intertemporal analysis shows that those properties persist from 2009 to 2017. Therefore, we identified a complex network structure. This structure shows hierarchy, association with self-organized systems, robustness and specialization, which are the fundamental aspects necessary to define a system. In the context of this analysis, this is the Global Innovation System.
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Ribeiro et al. (2026) studied this question.
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