汉字组合网络的结构探索

Deshun Zhao, Kun Zhao, Jun Yang, Wei-yi Ma, Bo Yu
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引用次数: 0

摘要

本文在复杂网络理论的框架下,研究了汉字网络的统计特性。本文以7000个现代常用汉字为基础,从不同方面构建了CCN1和CCN2两个汉字网络。在CCN1中,两个节点(每个节点对应一个汉字)之间的链接表示一个节点是另一个节点的组成部分。在CCN2中,一条链路代表两个节点可以合并成一个新的节点。研究发现,CCN1和CCN2具有小世界效应、无标度行为、分层组织和非分类混合等共同特征。这些结果有效地解释了汉字的起源和形成,对理解和使用汉字有绝对的帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structural Exploration of Chinese Character Combination Networks
In this paper, we learn the statistical properties of Chinese character networks within the framework of complex network theory. We construct two Chinese character networks (CCN1 and CCN2) based on 7000 Modern Chinese characters in common use from different respects. In CCN1, a link between two nodes (each node correspond to one Chinese character) represents that one node is a component part of the other. In CCN2, a link represents that the two nodes can be combined into a new node. It is found that, both in CCN1 and CCN2, there are some common features such as small-world effect, scale-free behavior, hierarchical organization and disassortative mixing. These results effectively explain the origin and formation of Chinese characters, which is absolutely helpful in understanding and using Chinese characters.
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