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Co-occurrence network analysis of modern Chinese poems

  • Wei Liang*
  • , Yanli Wang
  • , Yuming Shi
  • , Guanrong Chen
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

A total of 606 co-occurrence networks of Chinese characters and words are constructed from rhymes, free verses, and prose poems. It is found that 98.5% of networks have scale-free properties, while 19.8% of networks do not have small-world features, especially the clustering coefficients in 5.6% of networks are zero. In addition, 61.4% of networks have significant hierarchical structures, and 98% of networks are disassortative. For the above observed phenomena, analysis is provided with interpretation from a linguistic perspective.
Original languageEnglish
Pages (from-to)284-293
JournalPhysica A: Statistical Mechanics and its Applications
Volume420
DOIs
Publication statusPublished - 15 Feb 2015

Research Keywords

  • Chinese language
  • Co-occurrence network
  • Hierarchical structure
  • Poem
  • Spectral analysis

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