A community detection method towards analysis of Xi Feng parties in the northern song dynasty

Qianying Liu, Qiyao Wang, Wending Chen, Daisuke Kawahara

Research output: Contribution to conferencePaper

Abstract

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 hand-work, which makes it difficult to consider minor political scholars. In this paper, we use the Chinese Historical Biography Database to build a graph based on the relations among scholars in the Xi Feng factional conflict, and then use social network algorithms to model and analyze their impact. We use community detection algorithms to unsupervisedly extract the clusters of the two major parties. By analyzing the data obtained from the algorithm, we confirms several conclusions about the political influence of Cai Jing, Wang Anshi, and the new and old parties in the study of North Song history.

Original languageEnglish
Pages129-137
Number of pages9
Publication statusPublished - 2019
Externally publishedYes
Event33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019 - Hakodate, Japan
Duration: 2019 Sep 132019 Sep 15

Conference

Conference33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019
CountryJapan
CityHakodate
Period19/9/1319/9/15

ASJC Scopus subject areas

  • Language and Linguistics
  • Computer Science (miscellaneous)

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    Liu, Q., Wang, Q., Chen, W., & Kawahara, D. (2019). A community detection method towards analysis of Xi Feng parties in the northern song dynasty. 129-137. Paper presented at 33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019, Hakodate, Japan.