Abstract:In order to explore the dynamic evolution of innovator collaborative innovation network, networks are constructed based on the data of joint invention patent in electronic information industry. The paper reveals the characteristics of networks evolution, and constructs random actor models to identify the influencing factors of networks evolution. The results show that the relationship between innovators and innovation in electronic information industry increases in the early stage and becomes stable in the later stage. The network scale tends to be stable and the connections between nodes become closer. Network evolution is influenced by network structure characteristics, innovator characteristics and proximity mechanism. Among them, cooperation breadth and geographical proximity have the greatest impact.
李长升, 索琪, 王梓豪. 基于SAOM模型的主体协同创新网络演化机理[J]. 复杂系统与复杂性科学, 2024, 21(3): 62-68.
LI Changsheng, SUO Qi, WANG Zihao. Dynamic Evolution Mechanism of Innovator Collaborative Innovation Network Based on Stochastic Actor-oriented Model[J]. Complex Systems and Complexity Science, 2024, 21(3): 62-68.
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