基于知识权力和知识交互行为的产业集群多重知识网络演化分析

针对产业集群知识网络中客观存在但却未受关注的知识权力,结合自适应知识交互行为,采用多主体建模与仿真方法,分析知识权力的动态变化导致的产业集群多重知识网络演化。结果表明:知识权力差距及知识交互行为是促使产业集群多重知识网络形成及演化的基础,产业集群多重知识网络的演化过程具有典型的阶段性特征,其网络结构呈现出网络节点密集性与稀疏性相结合、强联结与弱联结并存、度分布高度异质性的特征。利用实际产业集群网络验证仿真结果,证明了该仿真模型的可信性。

Analysis on Evolution of Multiple Knowledge Network in Industrial Cluster Based on Knowledge Power and Knowledge Interaction Behavior

Based on the multi-agent model and simulation method,this paper studies the influence of dynamic knowledge power relationship among network nodes in the evolution of multiple knowledge network in industrial cluster.The results show that the formation and evolution of multiple knowledge network in industrial cluster is based on knowledge power gap and knowledge interaction behavior,and the evolution process is characterized by typical periodicity,such as the multiple knowledge network in industry cluster presents the combination of the denseness and the sparseness,the coexist of strong ties and weak ties,and high heterogeneous of degree distribution.Finally,it uses the real industry cluster network to verify the reliability of the simulation model.