人工社会中社会网络构建研究

Research on the Construction of Social Networks in Artificial Society

人工社会是1种自底向上研究复杂社会系统的重要方法。社会网络是构建人工社会的重要部分。人工社会对社会网络进行描述、建模、构建和分析非常必要。人工社会中社会网络主要有规模大、种类多、节点属性复杂、演化规律复杂等特点。社会网络模型主要包括规则网络、随机网络、复杂网络机制模型以及统计模型。基于社会网络模型,探讨了人工社会中社会网络构建的一般步骤,包括网络类型选择、网络静态特征分析、网络特性分析以及网络构建方法选择。讨论了社会网络模块与ACP(Artificial Society,Computational Experiments,Parallel Execution,ACP)平台的集成框架问题。

Artificial society, which is a bottom-up method, has become a significant mean of studying complexity and complex phenomena in human society. Social networks play an important role in the research of social interaction among people, and are key components of the artificial society. Artificial society must describe, construct and analyze different kinds of social networks. There are about four characteristics of the social networks： great scale, variety of type, complex node attribute and complex evolution law. Social network models consist of rule network, random network, the mechanism models of complex network, and statistical models. The basic step of the social network construction in artificial society was produced based on the study of social network models. It includes network type choose, static network characteristics analysis, network features analysis and network construction methods choose. The framework of integrate the social network module into KD-ACP platform was discussed.