集群知识网络中知识存量排序的演化过程研究——以郑(州)新(乡)汽车集群知识网络为例

Research on the Evolution of Knowledge Stock Sort in Cluster Knowledge Network—The Case Study from Zhengzhou Xinxiang Automobile Cluster knowledge Network

摘要:

运用知识存量排序理论、知识转移共振理论和混沌理论的分析方法,提出集群知识网络中知识存量排序的演化问题,并构建知识存量排序演化过程模型。通过郑新汽车集群知识网络的案例分析,认为集群知识网络状态和知识转移共振度共同影响知识存量排序的演化过程。从案例讨论中发现,在两种作用力的影响下,形成四种知识存量排序,并沿着非线性路径循环演化。

Abstract:

Analyzing from the theories of knowledge stock sort,transfer resonance and chaos,the article proposes the issue of evolution of knowledge stock sort in cluster knowledge network. Therefore, the model of knowledge stock sort is built up. With the case study of Zhengzhou Xinxiang automobile cluster knowledge network, it thinks that evolution of knowledge stock sort is affected by both status of cluster knowledge network and knowledge transfer resonance. By case discussion, it is founded that with the influence of two factors there exists four types of knowledge stock sorts evolved along with nonlinear path.