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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.
To better understand the topological structure of language network and its formation characteristics, this paper proposes a method to study Chinese word network based on complex network theory and analyzes several typical statistical characteristics of Chinese word network in detail.The empirical results show that Chinese The word-word network has the similar topological attributes of other language networks, that is, the non-scale behavior, the small-world effect and the positive correlation.An empirical study and the interpretation of the statistical result mechanism have a certain value for the further development of linguistics and cognitive science Learn from the value.