集群知识网络的内生演化研究-基于多主体的仿真分析

Research on Endogenous Evolution of Industrial Cluster Knowledge Network:Based on Multi-Agent Simulation

理解集群知识网络的内生演化机理与过程对于提升集群竞争力有着重要的现实意义。从集群知识网络中网络关系出发,按照从微观到宏观的思维逻辑,剖析了集群知识网络在网络关系和整体网络两个层面上的内生演化机理。将多主体仿真分析与实证研究相结合,模拟了集群知识网络的内生演化过程,并分析其演化结果。研究表明,网络节点基于自身需求对网络关系的选择行为遗传或变异着网络结构,导致了集群知识网络的涌现;经过一段时间的演化后,集群知识网络规模趋于稳定,具有较为明显的小世界网络特征和倾斜的度分布曲线。

Analyzing the endogenous evolution mechanisms and process of industrial cluster knowledge network has a realistic significance in upgrading the competition advantage of industrial clusters.Beginning with the analysis on links,this paper studies the evolution mechanisms of industrial cluster knowledge network on both micro-level and macro-level.The model of endogenous evolution is proposed and simulation of the evolving process of industrial cluster knowledge network is conducted by applying the multi-agent-based simulation and empirical study.It shows that the nodes selection action inherits or deviates the former structure of the knowledge network,which results in the emergence of the network.Meanwhile,the network becomes stable after a period of evolution and the network has two key characters of SW network and an oblique curve of degree distribution