融合社会资本与知识存量的合作创新网络演化机制研究

[Purpose/Significance] Based on social capital and knowledge stock of innovation entities, the in-depth research on the dynamic evolution characteristics and internal mechanisms of collaborative innovation networks can promote the innovation entities to integrate superior resources, expand collaboration channels, and further enhance their capacity for innovation. [Method/Process] With knowledge elements extraction, network dynamic modeling and social network analysis, this paper constructed domain’s collaborative innovation network and overall knowledge network, and focused on the local knowledge networks of individual innovation entities to reveal the driving mechanism of social capital and knowledge stock on the evolution of collaborative innovation networks. [Result/Conclusion] On the empirical analysis of the lithography patent data from 2003 to 2022, this paper exposes that the transitivity of collaborative innovation networks, the organizational proximity and cognitive proximity between innovation entities, as well as the knowledge diversity and knowledge combination potential of innovation entities drive the establishment of collaboration relations in innovation networks. Meanwhile, the degree centrality of innovation entities and the transitivity of local knowledge networks have a negative effect on the formation of collaborative innovation networks. Finally, this paper proposes some suggestions for stimulating collaboration and innovation in domains.