知识交互学习行为对集群网络演化的影响效应研究

Researdn on the Effect of Knowledge Interactive Learning Behavior to Cluster Network Evolution

考虑吸收内化系数、获得性学习系数、交互学习系数等变量,基于模型与仿真方法,研究了知识交互学习行为对集群网络演化的影响效应,通过静态与动态模拟得出:伴随企业获得性学习能力与吸收内化能力的不断学习进化,有效规模、效率、限制度、等级度等网络结构指标也在持续优化。

Based on assimilation coefficient,acquired learning coefficient and interactive learning coefficient,using model and simulation method,this paper studies knowledge interaction effect on cluster network evolution,some important proposi- tions obtained by static and dynamic simulations include:With the continnous learning of enterprises'acquired leafing ability and absorptive internalization ability network structure indicators,such as effective size,efficiency,constraint and hierarchy are also continuously optimized.