A Community Detection Method towards Analysis of Xi Feng Parties in the Northern Song Dynasty

Katrina Q. Wang, University of Wisconsin-Madison
Qianying Liu, Kyoto University

Factional conflict has played an important role in historical research, espcially studying the features of political scholars. Previous studies mainly analyze factional conflict based on case-by-case studies, which makes it difficult to consider minor political scholar-officials. In this paper, by using the Chinese Historical Biography Database to build a graph based on the relations among scholars in the Xi Feng factional conflict 1,000 years ago, we imply social network algorithms to model and analyze their impact respectively. Community detection algorithms unsupervisedly help us extract the clusters of the two major parties, the Old and the New. By analyzing the data obtained from the algorithm, we confirms several conclusions about the political influence of two important figures -- Can Jing and Wang Anshi, both from the New, and interactions between the two parties in the real historical conditions.

No extended abstract or paper available

 Presented in Session 57. Asian and Middle Eastern Politics