引文内容视角下的引文网络知识流动特征研究  

Characteristics of Knowledge Flow in Citation Network from the Perspective of Citation Content

作　　者：叶光辉[1] 彭泽 毕崇武 徐彤 Ye Guanghui

机构地区：[1]华中师范大学信息管理学院,湖北武汉430079

出　　处：《情报理论与实践》2020年第12期4-10,共7页Information Studies:Theory & Application

基　　金：国家自然科学基金青年项目“基于标签语义挖掘的城市画像计算与应用模型研究”(项目编号:71804055);中央高校基本科研业务费资助项目“基于引文分析的跨地域知识流动效率及其影响因素研究”(项目编号:2019CXZZ126)的成果之一。

摘　　要：[目的/意义]定量计算引文网络中的知识存量、知识流量及流动类型,并从不同层面揭示知识的结构、关联和演化。[方法/过程]将引文内容的分析结果融入到引文网络的构建过程中,挖掘并拆解标题、作者、机构、刊名、年份、关键词等题录信息,从学者、机构、学科3个维度整合、细化引文网络,同时引入时间序列分析引文网络的知识流动特征。[结果/结论]依据CNKI数据库构建"智库""数字人文""数据治理"三个范围的引文网络,从不同知识属性维度探究引文网络的知识流动特征,以及不同引文网络知识流动特征间的差异。文中方法通过重新定义引文网络的构成要素,可以更为有效地揭示知识单元在不同层面引文网络中的扩散与演进过程。[局限]需获取学术文献的全文本数据,仅适用于同种语言的学术文献,且计算方法的时间成本较高。[Purpose/significance]The research aims to calculate the knowledge stock,knowledge flow and flow type in citation network,and reveal the structure,correlation and evolution of knowledge from different levels.[Method/process]The results of citation content analysis is integrated into the construction of citation network.Title,author,organization,journal title,year,keywords and other bibliographic data is mined and disassembled.The citation network is integrated and refined from three dimensions of author,institution,and subject.Meanwhile,Timing analysis is introduced to analyze the knowledge flow characteristics of citation network.[Result/conclusion]Based on CNKI database,three citation networks is constructed,including"think tank","digital humanities"and"data governance".The characteristics and the differences of knowledge flow in three citation networks are explored from different knowledge attribute dimensions.The method in this paper can more effectively reveal the diffusion and evolution of knowledge units in different levels of citation network,by redefining the elements of citation network.[Limitations]Full text data of academic literature is required,and it is only suitable for academic documents in the same language.The time cost of calculation method is high.

关 键 词：知识流动 引文内容 引文网络 特征分析 智库 数字人文 数据治理 

分 类 号：G353.1[文化科学—情报学]