Abstract: In this paper, technological proximity was measured based on the degree of overlap between the co-firms’ prior patent IPC codes, and introduced into the evolution dynamics of innovation hypernetworks. Based on two preferential attachment mechanisms of technological proximity and hyperdegree, we proposed the hyperedge growth mechanism and constructed an evolving innovation hypernetwork model. The numerical simulations and empirical analysis on patent cooperation networks of new energy automobile industry in China shown that innovation hypernetwork displaied both scale-free and high clustering structure characteristics under the combination of the two preferential attachment mechanisms. Furthermore, this paper studied the effects of different preferential attachment mechanisms on the structure evolution and performance of innovation hypernetworks. The results shown that technological proximity preferential attachment mechanism will lead to a more balanced growth of innovative performance. And the greater role the hyperedge preferential attachment mechanism play, the more obvious the small-world and scale-free structure characteristics will display.

摘要： 本文将技术邻近性引入创新超网络的演化动态研究，基于专利技术结构给出了企业间技术邻近性的度量方法，分析了创新超网络的技术邻近择优连接机制与超度择优连接机制，并结合超边增长机制构建了技术邻近动态下的创新超网络演化模型。进一步，以新能源汽车行业为例，对创新超网络的数值仿真和实证分析进行了比较研究。不同演化机制下的创新超网络演化动态仿真和新能源汽车创新超网络的实证数据比较结果表明：技术邻近择优连接和超度择优连接的共同作用导致企业创新超网络最终演化为具有无标度性和高集聚性特征的网络；技术邻近择优连接机制的作用越大，创新超网络内企业的技术创新水平越均衡；超度择优连接机制的作用越大，创新超网络的无标度性和小世界性越显著。