复杂网络:认知世界的科学新方法

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 Networks: A New Method to Understand the World Science

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 parameters 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 becoming 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.