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基于复杂网络的社会财富演化模型 被引量:1

Evolving model of social wealth based on complex networks
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摘要 应用复杂网络理论,结合信息的不对称性,社会财富不断增长以及边际效应等特点,分析了我国财富分布的不均衡性.理论分析和仿真试验表明,财富分布服从混合型分布,即中低收入者服从指数分布,高收入者服从帕累托分布,与我国现实社会中的财富分布形式相吻合.仿真分析还发现随着结构参数值的增大,社会财富聚集速度不断加快,通过计算基尼系数得到社会财富分配的不均衡性也在逐渐增大,但其增加的速率是逐渐降低的. Based on the complex network theory, this paper analyzes the inequality of China's wealth dis- tribution considering features of informational asymmetry, wealth increasing, the marginal effect and so on. According to the theoretical analysis and simulation results, this paper concludes that the wealth distribution follows a mixed form distribution in our model, which is an exponential wealth distribution with a power law tail in accordance with the empirical data. This can describe the wealth distribution of our society exactly. By simulation, this paper summarizes that, with the increasing of structural parameters, the condensation speed of our social wealth is accelerated. Through the computing of the Gini index, this paper draws the conclusion that the inequality of wealth distribution is increasing, but at a decreasing rate.
作者 路兰 高齐圣
出处 《系统工程学报》 CSCD 北大核心 2012年第6期719-726,共8页 Journal of Systems Engineering
基金 国家自然科学基金资助项目(60875039 61104075) 教育部人文社科规划基金资助项目(11YJA630019)
关键词 财富分布 局域世界网络 帕累托分布 基尼系数 wealth distribution local-world networks Pareto distribution Gini index
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