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

Qianying Liu, Qiyao Wang, Wending Chen, Daisuke Kawahara

研究成果: Paper査読

抄録

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.

本文言語English
ページ129-137
ページ数9
出版ステータスPublished - 2019
外部発表はい
イベント33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019 - Hakodate, Japan
継続期間: 2019 9 132019 9 15

Conference

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

ASJC Scopus subject areas

  • 言語および言語学
  • コンピュータ サイエンス(その他)

フィンガープリント

「A community detection method towards analysis of Xi Feng parties in the northern song dynasty」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル