Co-occurrence network analysis of modern Chinese poems

Wei Liang, Yanli Wang, Yuming Shi and Guanrong Chen

Physica A: Statistical Mechanics and its Applications, 2015, vol. 420, issue C, 284-293

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.

Keywords: Chinese language; Poem; Co-occurrence network; Hierarchical structure; Spectral analysis (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:420:y:2015:i:c:p:284-293

DOI: 10.1016/j.physa.2014.11.001

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