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Chinese lexical networks: The structure, function and formation

Author

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  • Li, Jianyu
  • Zhou, Jie
  • Luo, Xiaoyue
  • Yang, Zhanxin

Abstract

In this paper Chinese phrases are modeled using complex networks theory. We analyze statistical properties of the networks and find that phrase networks display some important features: not only small world and the power-law distribution, but also hierarchical structure and disassortative mixing. These statistical traits display the global organization of Chinese phrases. The origin and formation of such traits are analyzed from a macroscopic Chinese culture and philosophy perspective. It is interesting to find that Chinese culture and philosophy may shape the formation and structure of Chinese phrases.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:phsmap:v:391:y:2012:i:21:p:5254-5263
    DOI: 10.1016/j.physa.2012.05.058
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    References listed on IDEAS

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    1. Sheng, Long & Li, Chunguang, 2009. "English and Chinese languages as weighted complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(12), pages 2561-2570.
    2. Barabási, Albert-László & Albert, Réka & Jeong, Hawoong, 2000. "Scale-free characteristics of random networks: the topology of the world-wide web," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 281(1), pages 69-77.
    3. Zhou, Shuigeng & Hu, Guobiao & Zhang, Zhongzhi & Guan, Jihong, 2008. "An empirical study of Chinese language networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 3039-3047.
    4. Capocci, A. & Servedio, V.D.P. & Caldarelli, G. & Colaiori, F., 2005. "Detecting communities in large networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 352(2), pages 669-676.
    5. de Jesus Holanda, Adriano & Torres Pisa, Ivan & Kinouchi, Osame & Souto Martinez, Alexandre & Eduardo Seron Ruiz, Evandro, 2004. "Thesaurus as a complex network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(3), pages 530-536.
    6. Yamamoto, Ken & Yamazaki, Yoshihiro, 2009. "A network of two-Chinese-character compound words in the Japanese language," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(12), pages 2555-2560.
    7. Catanzaro, Michele & Caldarelli, Guido & Pietronero, Luciano, 2004. "Social network growth with assortative mixing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 338(1), pages 119-124.
    8. Li, Xiang & Chen, Guanrong, 2003. "A local-world evolving network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 328(1), pages 274-286.
    9. Kim, D.-H. & Rodgers, G.J. & Kahng, B. & Kim, D., 2005. "Modelling hierarchical and modular complex networks: division and independence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 351(2), pages 671-679.
    10. 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.
    11. A. P. Quayle & A. S. Siddiqui & S. J.M. Jones, 2006. "Modeling network growth with assortative mixing," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 50(4), pages 617-630, April.
    12. Steven H. Strogatz, 2001. "Exploring complex networks," Nature, Nature, vol. 410(6825), pages 268-276, March.
    13. L. Krumov & C. Fretter & M. Müller-Hannemann & K. Weihe & M. Hütt, 2011. "Motifs in co-authorship networks and their relation to the impact of scientific publications," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 84(4), pages 535-540, December.
    14. Kinouchi, O & Martinez, A.S & Lima, G.F & Lourenço, G.M & Risau-Gusman, S, 2002. "Deterministic walks in random networks: an application to thesaurus graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 315(3), pages 665-676.
    15. 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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