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当前知识已经成为产业集群乃至区域经济发展中的重要资源,关系着集群的生存与发展。作为集群知识演化的平台,集群网络的结构影响着知识扩散与创新的绩效。文章尝试将社会网络分析方法和数值仿真技术相结合,并应用于对产业集群知识演化的研究中。在对南京大明路汽车销售与服务产业集群的实证分析中,对现实的集群网络进行了直观描述和数值分析。在此基础上,通过对集群知识演化过程的建模和仿真,对比分析了现实集群网络与重连、随机两个模拟网络上知识扩散和创新的绩效,并提出了现实集群网络进一步优化的方向。
The current knowledge has become an important resource in industrial clusters and even regional economic development, which has a bearing on the survival and development of clusters. As a platform for the evolution of cluster knowledge, the structure of cluster network affects the performance of knowledge diffusion and innovation. The article tries to combine social network analysis method with numerical simulation technology and apply it in the research of the evolution of industrial cluster knowledge. In the empirical analysis of Nanjing Daming Road Automobile Sales and Service Industrial Cluster, the realistic cluster network is described and analyzed numerically. On the basis of this, through the modeling and simulation of evolutionary process of cluster knowledge, the performance of diffusion and innovation in real cluster network and reconnection and random simulation network are comparatively analyzed, and the direction of further optimization of realistic cluster network is proposed .