科技情报研究2026，Vol.8Issue(1)：66-75,10.DOI:10.19809/j.cnki.kjqbyj.2026.01.007
网络分析与文本挖掘视角下的宋代士人交游研究
Using Network Analysis and Text Mining to Study the Social Networks of Song Dynasty Literati:An Analysis Based on CBDB and The Collection of Song Poems
摘要
Abstract
[Purpose/significance]The Song dynasty ranks among the most flourishing periods for literati culture in an-cient China.This paper aims to observe the interaction between the literati's friendship network,social culture,and changes in the political system in the Song dynasty from the perspective of digital humanities.[Method/process]This paper uses the China Biographical Database(CBDB)to create a high-quality dataset of cleansed historical elite group in the Song dynasty for social network analysis and network topology statistics.By connecting CBDB with The Com-plete Collection of Song Poems,we build a dataset and a corpus of Song literati's friendship poem.The paper then uses word vector algorithms to establish a semantic network of feature words in the poems,and identifies the topics of the friendship poems with community detection algorithm.[Result/conclusion]The results show that the literati group formed various social activities through all kinds of social relations and opportunities,and the network exhibits the so-called small world property of current social media networks.9 top communities identified from the corpus reflect the fact that social activities were highly encouraged among the literati during the Song dynasty.关键词
数字人文/历史社会网络分析/文本挖掘/士人交游/《全宋诗》/CBDBKey words
digital humanities/historical social network analysis/text mining/the literati's social activities/The Com-plete Collection of Song Poems/CBDB分类
社会科学引用本文复制引用
潘俊,刘宁..网络分析与文本挖掘视角下的宋代士人交游研究[J].科技情报研究,2026,8(1):66-75,10.基金项目
国家社会科学基金项目"古代科技文献名物知识图谱构建与人文计算研究"(编号:23BTQ019) （编号:23BTQ019）
浙江省高校重大人文社会科学攻关计划项目"江南士人群体社会关系网络与地域文化演进研究"(编号:2023QN088). （编号:2023QN088）
