引文分析视角的数字经济知识扩散研究  

Research on Knowledge Diffusion in Digital Economy from the Perspective of Citation Analysis

作　　者：申倩 

机构地区：[1]内蒙古财经大学经济学院,内蒙古 呼和浩特

出　　处：《现代管理》2022年第12期1669-1683,共15页Modern Management

摘　　要：为量化数字经济研究引文网络中的知识扩散程度,从多维度揭示数字经济研究知识扩散结构、关联和演化特征。本文以2007~2022年间Web of Science中核心数据库3732篇引文数据及其施引文献为数据源,采用引文分析、文本挖掘法和网络分析法,从学术期刊、涉及学科、研究机构等信息探究数字经济研究的知识扩散特征。分析数字经济研究的知识扩散情况。借助知识扩散广度、强度和速度等指标进行量化分析。同时,从数字经济引文数据中进行信息萃取,对主题、短语、命名实体进行分析。研究发现,数字经济知识扩散范围不断扩大,学科间知识扩散不均衡。限于研究数据均为学术文献,非结构化资料的挖掘不足。To quantify the degree of knowledge diffusion in the citation network of digital economy research, and reveal the structure, correlation and evolution characteristics of knowledge diffusion in digital economy research from multiple dimensions, this paper has adopted 3732 citation data and citation references in the core database of Web of Science from 2007 to 2022 as the data source. Citation analysis, text mining and network analysis were used to explore the knowledge diffusion characteristics of digital economy research from academic journals, related disciplines, research institutions and other information. To analyze the knowledge diffusion of digital economy research, the breadth, intensity and speed of knowledge diffusion are used for quantitative analysis. At the same time, information extraction is carried out from the citation data of digital economy, and the theme, phrase and named entity are analyzed. It is found that the diffusion of knowledge in digital economy is expanding, and the diffusion of knowledge among disciplines is not balanced. The research data are all academic literature, and the mining of unstructured data is insufficient.

关 键 词：数字经济 知识扩散 引文分析 文本挖掘 

分 类 号：F49[经济管理—产业经济]