Interaction Effect of Knowledge Network and Collaboration Network on Breakthrough Innovation

The impact of knowledge networks and collaborative networks on innovation performance has been widely studied, but there is a lack of empirical research on their impact on breakthrough innovation. The aim of this study is to fill this gap by examining the non-linear relationship between inventors' ability to cross structural holes in knowledge networks and breakthrough innovation performance, while considering the moderating effects of degree centrality and collaboration centrality in collaborative networks. This study used Python and UCINET to calculate variables and used zero inflation negative binomial model to test the impact of structural holes on breakthrough innovation. The research results indicate that there is an inverted U-shaped relationship between structural holes and breakthrough innovation, and the degree centrality and closeness centrality in collaborative networks have a positive regulatory effect. The research findings reveal how the knowledge combination and collaborative relationship of inventors promote knowledge dissemination and sharing, and provide new insights for exploring collaboration and innovation.