Study on the Family Relation Network of Kaifeng Jinshi Group in the Northern Song Dynasty

Analysis Based on the Combination of CBDB Database and Traditional Historical Records

DOI

10.2991/assehr.k.210806.157How to use a DOI?

Keywords

Kaifeng Jinshi Group, Imperial examination, Family network, CBDB database, the Northern Song Dynasty

Abstract

The combination of big data and historical textual research has become one of the hotspots of historical research in the new era. The combination of CBDB database and related visualization software provides another feasible path for studying the relationship network of ancient historical figures and the regionalization of imperial examinations. CBDB and traditional historical records show that the family relationship of Kaifeng Jinshi Group in the Northern Song Dynasty has some characteristics. The family relationship network of Kaifeng Jinshi Group formed a whole pattern with some big families as the center and some small families scattered on the edge. In-law relationship is an important link to maintain the connection between imperial examination families. The rise of the southern Jinshi group accelerated the deconstruction process of the Kaifeng Jinshi group family. When using big data for imperial examination research, attention should be paid to the application of traditional textual research methods to ensure the accuracy and reliability of relevant research.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xu Yulong
PY  - 2021
DA  - 2021/08/09
TI  - Study on the Family Relation Network of Kaifeng Jinshi Group in the Northern Song Dynasty
BT  - Proceedings of the 2021 5th International Seminar on Education, Management and Social Sciences (ISEMSS 2021)
PB  - Atlantis Press
SP  - 829
EP  - 833
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210806.157
DO  - 10.2991/assehr.k.210806.157
ID  - Yulong2021
ER  -