A model for the evolution of economic systems in social networks

被引：7

作者：

Elgazzar, AS

机构：

[1] Max Planck Inst Phys Komplexer Syst, D-01187 Dresden, Germany

[2] Fac Educ, Dept Math, Al Arish 45111, Egypt

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2002年 / 303卷 / 3-4期

关键词：

evolutionary economic models; social networks; Pareto optimality;

D O I：

10.1016/S0378-4371(01)00507-6

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

A model for the evolution of economic systems is defined on a one-dimensional lattice using Pareto optimality. Pareto optimality is shown to maximize the total payoff of all agents in comparison to the Nash optimality. The small-world networks are found to be closer to the real social systems than both regular and random lattices. Then, the model is generalized to small-world networks that display different dynamics from the one-dimensional case. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：543 / 551

页数：9

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