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

Qianying Liu; Qiyao Wang; Wending Chen; Daisuke Kawahara

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 conference › Paper › peer-review

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 language	English
Pages	129-137
Number of pages	9
Publication status	Published - 2019
Externally published	Yes
Event	33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019 - Hakodate, Japan Duration: 2019 Sept 13 → 2019 Sept 15

Conference

Conference	33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019
Country/Territory	Japan
City	Hakodate
Period	19/9/13 → 19/9/15

ASJC Scopus subject areas

Language and Linguistics
Computer Science (miscellaneous)

Cite this

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title = "A community detection method towards analysis of Xi Feng parties in the northern song dynasty",

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.",

author = "Qianying Liu and Qiyao Wang and Wending Chen and Daisuke Kawahara",

note = "Publisher Copyright: Copyright {\textcopyright} 2019 Qianying Liu, Qiyao Wang, Wending Chen and Daisuke Kawahara.; 33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019 ; Conference date: 13-09-2019 Through 15-09-2019",

year = "2019",

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TY - CONF

T1 - A community detection method towards analysis of Xi Feng parties in the northern song dynasty

AU - Liu, Qianying

AU - Wang, Qiyao

AU - Chen, Wending

AU - Kawahara, Daisuke

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

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M3 - Paper

AN - SCOPUS:85084947140

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T2 - 33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019

Y2 - 13 September 2019 through 15 September 2019

ER -

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

Abstract

Conference

ASJC Scopus subject areas

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