Abstract
The Romance of the Three Kingdoms (RTK) is a classical Chinese historical novel by Luo Guanzhong. This paper establishes a research framework of analyzing the novel by utilizing coword and cluster analysis technology. At the beginning, we segment the full text of the novel, extracting the names of historical figures in the RTK novel. Based on the coword analysis, a social network of historical figures is constructed. We calculate several network features and enforce the cluster analysis. In addition, a modified clustering method using edge betweenness is proposed to improve the effect of clustering. Finally, both quantified and visualized results are displayed to confirm our approach.
Highlights
The Romance of the Three Kingdoms, written by Luo Guanzhong, is generally considered to be one of the four great classical novels in Chinese literature
The Romance of the Three Kingdoms is taken as the object of analysis
The raw text of the Romance of the Three Kingdoms (RTK) novel is processed with NLP tools and character names are recognized by lexical analysis
Summary
The Romance of the Three Kingdoms, written by Luo Guanzhong, is generally considered to be one of the four great classical novels in Chinese literature. It describes the turbulent years from the end of the Han dynasty to the Three Kingdoms (Wei, Shu, and Wu) era in Chinese history. The character name is reckoned as the node and the cooccurrence as the link, so that an undirected network can be established. Various network features are computed to analyze relationships of characters in the novel.
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