集群演化网络模型与仿真研究

Evolution of Industrial Clusters Based on Evolving Networks Models

从网络视角研究集群的演化,应用一个小世界演化模型与选择价值函数演化模型相结合的双重网络演化模型,研究集群网络的演化特征和集群网络的演化过程。此模型可反映集群网络从形成期到成熟期的演化进程,应用该模型对集群网络形成期和成熟期的网络密集性、连通性和中心性进行了仿真试验,并对集群网络的形成机制给出了解释和分析。研究表明,小世界网络模型模拟的集群网络具有集群形成期网络整体密集性和连通性剧烈变化的特征,而个体选择价值函数模型可以解释集群网络的成长期、成熟期的密集性和连通性趋于稳定的特征,将2种演化规则相结合,则可以反映集群网络从形成期到成熟期的各生命周期特征。最后,由小世界和价值函数演化机理出发,给出集群网络演化进程中生命周期各阶段的内因解释和政策启示。

Through evolving of industrial clusters,applying a new evolving network model based on small worlds network model and individual selection model,this paper studies the characteristics and process of clustering network evolving.The model can simulate the process from forming period to mature period of a industrial clusters networks,and its intensiveness,connectedness and centrality.It also explains and analyzes the forming mechanism of the industrial clusters.The results show that small world network model could explain the big change of intensiveness and connectedness in forming process.And individual selection value function could explain the stable intensiveness,connectedness in growing and mature process.Combined the both,the characteristics of the whole process could be reflected.Finally,it provides the inside factors and policy revelation of industrial cluster networks evolution from small world and value function mechanism.