Coword and Cluster Analysis for the Romance of the Three Kingdoms | Zendy

Chao Fan | Zendy; Yu Li | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Coword and Cluster Analysis for the Romance of the Three Kingdoms

Author(s) -

Chao Fan,

Yu Li

Publication year - 2021

Publication title -

wireless communications and mobile computing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.42

H-Index - 64

eISSN - 1530-8677

pISSN - 1530-8669

DOI - 10.1155/2021/5553635

Subject(s) - betweenness centrality , computer science , cluster analysis , cluster (spacecraft) , kingdom , enhanced data rates for gsm evolution , data mining , social network analysis , clustering coefficient , artificial intelligence , world wide web , statistics , centrality , social media , mathematics , computer network , paleontology , biology

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research