![]() Furthermore, various network features are computed to analyze relationships of characters in the novel. The character name is reckoned as the node and the cooccurrence as the link, so that an undirected network can be established. Thus, we calculated the frequency of cooccurrences for two names in a sentence. According to coword analysis, there is a certain intrinsic relationship between the two words when they appear in the same document. In this research, text of original novel is divided into a number of sentences. More than 1000 personalities are vividly portrayed in the historical novel. 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 Romance of the Three Kingdoms, written by Luo Guanzhong, is generally considered to be one of the four great classical novels in Chinese literature. Finally, both quantified and visualized results are displayed to confirm our approach. In addition, a modified clustering method using edge betweenness is proposed to improve the effect of clustering. ![]() We calculate several network features and enforce the cluster analysis. Based on the coword analysis, a social network of historical figures is constructed. #ROMANCE OF THE THREE KINGDOMS 13 CHARACTER CREATION FULL#At the beginning, we segment the full text of the novel, extracting the names of historical figures in the RTK novel. This paper establishes a research framework of analyzing the novel by utilizing coword and cluster analysis technology. The Romance of the Three Kingdoms (RTK) is a classical Chinese historical novel by Luo Guanzhong. ![]()
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