Comparisons of the English and Chinese Language Networks: Many Similarities and Few Differences
Dujuan Wang 1*, Ru Wang 2, Xu Cai 11 Complexity Science Center, Institute of Particle Physics, Central China Normal University, Wuhan 430079, China.
2 College of Information Science and Engineering, Huaqiao University, Quanzhou 362021, China.
Received 19 September 2009; Accepted (in revised version) 16 December 2009
Available online 20 April 2010
With words as nodes, and a link exits between two neighboring words, the weighted directed English and Chinese written human language networks are constructed from one English novel and two Chinese ones. We hereby analyze in detail the topological structure of them, in order to clarify their similar and different statistical properties. The empirical results show that the English and Chinese language networks all possess the shifted power law (SPL) degree distribution, the small-world property and the hierarchical structure, the connections among the words have positive assortativity coefficient and reciprocal characteristics. We also investigate the features of the strength and the centrality, which describe the importance of a specific word. Furthermore, considering the growth properties of the language networks and part of topological property, we find that the English written human language network grows slower than the Chinese one, which implies different mechanisms of the English and Chinese languages.
AMS subject classifications: 05C82, 91D30, 68M10
PACS: 89.75.-k, 89.75.Fb, 43.71.Sy
Key words: Topological structure, shifted power law, correlation, growth property.
Email: firstname.lastname@example.org (D. Wang), email@example.com (R. Wang), firstname.lastname@example.org (X. Cai)