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.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2010年第3期345-348,共4页
Journal of Shanghai Jiaotong University
基金
上海市自然科学基金资助项目(09ZR1407300)
关键词
博弈
代理
小世界网络
创新扩散
game theory
agent
small world network
diffusion of innovations