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Chinese character structure analysis based on complex networks

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  • Li, Jianyu
  • Zhou, Jie

Abstract

In this paper, Chinese character networks are modelled using complex networks theory. We analyze statistical properties of the networks and find that character networks also display two important features as other real networks, i.e., small-world feature and the non-Poisson distribution. These results indicate that the discovered features of Chinese character structure reflect the combinatorial nature of Chinese characters. We also simulate the formation of Chinese phono-semantic characters using bipartite graph theory. The bipartite graph model generates non-Poisson distributions and disassortative mixing as the empirical networks, which effectively explain the origin and formation of phono-semantic characters.

Suggested Citation

  • Li, Jianyu & Zhou, Jie, 2007. "Chinese character structure analysis based on complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 380(C), pages 629-638.
    • Handle: RePEc:eee:phsmap:v:380:y:2007:i:c:p:629-638
    DOI: 10.1016/j.physa.2007.02.059
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    References listed on IDEAS

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    Cited by:

    1. Li, Jianyu & Zhou, Jie & Luo, Xiaoyue & Yang, Zhanxin, 2012. "Chinese lexical networks: The structure, function and formation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(21), pages 5254-5263.
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    4. Liu, Haitao, 2008. "The complexity of Chinese syntactic dependency networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 3048-3058.

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