基于复杂网络理论的中文字字网络的实证研究

An empirical study on Chinese word-word network based on complex network theory

为更好地理解语言网络的拓扑结构及其形成特点,提出一种基于复杂网络理论研究中文字字网络的方法,并详细分析了中文字字网络的几个典型统计特性.实证结果表明:中文字字网络具有其他语言网络相似的拓扑属性,即无尺度行为、小世界效应及度相关性的正匹配.实证研究及对统计结果机理的阐释对于语言学、认知科学的深入开展具有一定的借鉴价值.

A research method for Chinese word-word network was developed within the framework of complex network theory to better understand topological structure and formation characteristics of language networks, and several typical statistical properties of the network were analyzed. The empirical results show that Chinese word-word language network has the similar topological attributes, such as scale-free behavior, small-world effect and assortative mixing comparing with other previously studied language networks. The empirical research and the mechanism explanation to the statistic results may have reference value to language science and cognitive science developing.