科技情报研究2025，Vol.7Issue(1)：41-52,12.DOI:10.19809/j.cnki.kjqbyj.2025.01.004
基于主路径分析的领域研究路径识别研究
Identifying Research Paths Based on Main Path Analysis:A Case Study of Knowledge Graphs
摘要
Abstract
[Purpose/significance]The main path analysis of citation networks can be used to identify important litera-ture in specific fields and can achieve the extraction of mainstream research threads.This paper will use the main path analysis method to analyze the research path of knowledge graphs and sort out the context of their research devel-opment.[Method/process]This paper firstly obtains research papers in the field of knowledge graphs from the Web of Science platform,then uses the HistCite software to generate a direct citation network of the literature,and then im-ports the data into Pajek to generate multiple main paths of the dataset,and combines the content of the papers on the main paths for qualitative analysis.[Result/conclusion]Through main path analysis,some main paths in the field of knowledge graphs can be quickly identified,such as the construction of knowledge graph,research on the application of knowledge graphs in recommendation and question answering and other application scenarios,research on the ap-plication of knowledge graphs in specific application fields such as manufacturing.These paths reflect the develop-ment context and research direction of knowledge graph technology.Review studies have played an important role in the development of the knowledge.关键词
主路径分析/引文网络/知识图谱/Pajek/研究方法Key words
main path analysis/citation network/knowledge graph/Pajek/research method引用本文复制引用
魏瑞斌,王伊丹,徐艳..基于主路径分析的领域研究路径识别研究[J].科技情报研究,2025,7(1):41-52,12.基金项目
国家社会科学基金项目"情报学研究方法的知识图谱构建及其在应用场景推荐研究"(编号:20BTQ044) （编号:20BTQ044）
