复杂网络与标准扩散中的集聚——基于主体的计算经济学研究  

Complex Network and Clustering in Standard Diffusion:Research Based Upon Agent-based Computational Economics

作　　者：鲜于波[1] 梅琳[1] 

机构地区：[1]中山大学岭南学院,广州511430

出　　处：《复杂系统与复杂性科学》2008年第1期14-21,共8页Complex Systems and Complexity Science

基　　金：国家自然科学基金(70673118)

摘　　要：结合行为博弈关于学习算法的成果,采用基于主体的计算经济学方法,研究了标准扩散中的集聚问题。为了测量复杂网络下的标准集聚程度,根据标准扩散的特点定义了新的聚类系数。仿真结果表明集聚是标准扩散过程中非常显著的现象;也揭示出在扩散中微观个体在不断改变策略的同时,宏观集聚现象却一直很明显。因此较好地揭示了标准扩散过程中的集聚现象以及复杂系统中微观主体行为和宏观集聚现象之间的关系。This paper analyses the agent clustering in standard diffusion using agent-based computational modeling method. This paper also modifies clustering coefficient formula to measure if there is clustering phenomenon in standard diffusion process. The simulation result shows that clustering is a salient feature in the standard diffusion process. It also reveals that while all agents were making decision to use some standard, the clustering phenomenon is very always obvious. This paper reveals the agent clustering and coexistence phenomenon in standard diffusion process, it also explains the two-way relationship between micro-agent behavior and macro-clustering measure in social complex systems.

关 键 词：复杂网络 标准扩散 集聚 计算经济学 

分 类 号：F224.12[经济管理—国民经济] N94[自然科学总论—系统科学]