Formation and Simulation on Chinese Lexical Networks

Jinze Li, Jianyu Li, Zhanxin Yang, Feng Xiao
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Abstract

The phrase networks of Chinese show small world, scale-free and disassortative mixing features in our previous paper [10]. Here semantical relationships are considered to explain the small world feature. Then we simulate the formation of Chinese phrases using weighted graph theory. The weighted graph model generates power-law distributions and disassortative mixing as the empirical networks, which effectively explain the origin, formation and evolution of Chinese phrases.
汉语词汇网络的形成与模拟
在我们之前的论文[10]中,汉语短语网络表现出小世界、无标度和非分类混合的特征。在这里,语义关系被用来解释小世界的特征。然后利用加权图理论模拟汉语短语的生成过程。加权图模型产生幂律分布和非分类混合作为经验网络,有效地解释了汉语短语的起源、形成和演变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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