摘要
文章针对数字人文环境下的历史社会网络分析问题,提出一个基于知识库和文献的历史人物关系网络构建和挖掘方法,以明代进士群体为对象展开实证研究。文章从知识库和科举文献中采集数据并构建进士社会网络,通过量化统计和文献循证分析,对网络的拓扑特征和社会关系分布,核心进士的群体特征及关系子图挖掘等问题,逐一分析与讨论,得到若干基于量化分析的结果,扩展了大数据环境下人文历史领域的研究方法和思维。
The historical social network analysis in the age of digital humanities has won more and more attention of researchers in recent years.This paper proposes a framework for the construction and knowledge mining of histori⁃cal social network,and then carries out an empirical analysis of the Jinshi community in the Ming Dynasty.It ex⁃tracts and integrates data from both knowledge base and imperial examination documents,and then constructs a historical social network.Based on this historical social network,and by means of quantitative statistic?techniques and evidence-based analysis methods,it then discusses such issues as the network topology statistics,the person⁃al relationship distributions,the characteristics of the elite groups and the individual sub-network.Such could en⁃rich the methodology of humanist studies in the era of big data.
出处
《图书馆论坛》
CSSCI
北大核心
2021年第5期48-59,共12页
Library Tribune
基金
教育部人文社会科学研究青年基金项目“基于知识库和大规模文本的词汇语义表示研究”(项目编号:18YJC⁃ZH137)
杭州市哲学社会科学规划课题“大数据视阈下宋代杭州士大夫群体社会关系网络研究及数据库建设”(项目编号:Z20JC060)研究成果。
关键词
知识库
文本挖掘
社会网络分析
明代进士
数字人文
knowledge base
text mining
social network analysis
the Jinshi community in the Ming dynasty
digital humanities
