Spectral analysis of Chinese language: Co-occurrence networks from four literary genres
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- 作者：Wei Lianga ; wliang@hpu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Guanrong Chenb
- 关键词：Chinese language ; Co-occurrence network ; Spectral analysis ; Adjacency matrix
- 刊名：Physica A: Statistical Mechanics and its Applications
- 出版年：2016
- 出版时间：15 May 2016
- 年：2016
- 卷：450
- 期：Complete
- 页码：49-56
- 全文大小：995 K
文摘
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408 Chinese networks’ spectra and principal eigenvectors are computed.
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The largest eigenvalue depends on N,E,L, and C as scale free, respectively.
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The number of different eigenvalues is ∝logN for novel, while ∝N for the others.
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A triangle or an “M” shape appears in each of the incorporated networks’ spectral densities.
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The principal eigenvector is localized to the node with the largest degree.