复杂网络:认知世界的科学新方法  

Complex Networks: A New Method to Understand the World Science

作　　者：黄欣荣[1] 

机构地区：[1]江西财经大学马克思主义学院,江西南昌330013

出　　处：《江西财经大学学报》2012年第1期89-95,共7页Journal of Jiangxi University of Finance and Economics

基　　金：国家社会科学基金项目"复杂性科学的方法研究"(07BZX020);教育部人文社会科学研究规划项目"复杂性科学的方法体系研究"(06JA720014)

摘　　要：复杂网络理论是复杂性科学刚刚兴起的一个重要分支,它通过系统网络结构的统计参数刻画和描述,为系统结构分析提供了一种新的科学方法。通过复杂网络统计参数分析,科学家们发现了复杂世界可能呈现小世界和无标度两种现象。通过小世界和无标度这两种认识工具,我们可以在复杂网络世界中找到简单的科学规律,这为我们科学分析纷繁复杂的大千世界提供了强有力的科学工具。复杂网络理论正在成为一种新的世界观和思维方式,为我们认知复杂世界提供了一种科学新方法并打开了一扇新窗口。Complex network theory is a rising important branch of the complexity science, which provides a new scientific method for systemic structure analysis by depicting and describing through the statistical parameters of the systemic network structure. Through the analysis of the statistical pa- rameters of the complex network, scientists have discovered that the complex world may present two phenomena： the small world and scale-free. Through both the tools of small world and scale-free, we may find in the world of complex networks the simple laws of science, which will provide us with a powerful scientific tool to analyze the complicated worlds of science. Complex network theory is be- coming a new world view and way of thinking, providing a new scientific method and opening a new window for us to recognize the complex world.

关 键 词：复杂网络 复杂性科学 认知世界 小世界 无标度 

分 类 号：N02[自然科学总论—科学技术哲学]