详细信息
Pareto-Nash混合策略下小世界网络中创新扩散模型仿真分析 ( EI收录)
Modeling and Simulating of Innovation Diffusion in Small World Networks with Mixed Pareto-Nash Strategies
文献类型:期刊文献
中文题名:Pareto-Nash混合策略下小世界网络中创新扩散模型仿真分析
英文题名:Modeling and Simulating of Innovation Diffusion in Small World Networks with Mixed Pareto-Nash Strategies
作者:李英[1];蒋录全[2]
机构:[1]华东理工大学商学院,上海200237;[2]上海交通大学安泰经济与管理学院,上海200052
年份:2010
卷号:44
期号:3
起止页码:345
中文期刊名:上海交通大学学报
外文期刊名:Journal of Shanghai Jiaotong University
收录:CSTPCD;;EI(收录号:20102012933124);Scopus;北大核心:【北大核心2008】;CSCD:【CSCD2011_2012】;
基金:上海市自然科学基金资助项目(09ZR1407300)
语种:中文
中文关键词:博弈;代理;小世界网络;创新扩散
外文关键词:game theory; agent; small world network; diffusion of innovations
摘要:采用基于代理(Agent)的复杂系统仿真方法,从微观层面研究了技术创新在小世界网络中的扩散问题,分析了Nash和Pareto 2种不同规则对扩散过程和扩散终态的影响.结果表明:在一定的成本系数取值范围内,采用Pareto规则的Agent获得的收益值高于采用Nash规则;同时,随着成本系数k的变化,2种规则带来的收益曲线中存在转折点,其出现在k=3.7处.
The micro level characteristics of the innovation diffusion process in a small world social network were studied by using agent-based complex system simulation method.The effect of Nash-rule and Pareto-rule on the diffusion process and diffusion result was analyzed.The simulation indicates that the payoff value of the agent is higher when the agent uses Pareto rule when the cost factor k is within a certain range.Furthermore,the average payoff value of the agents has an inflexion with the changing of k,and the inflexion appears at k=3.7.
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