基于CiteSpace的免疫学知识图谱分析

Analysis of Immunological Knowledge Graph Based on CiteSpace

知识图谱技术可以使复杂的项目可视化,显著提升实体之间的表达效果。免疫学相关的研究领域十分广泛,文章利用知识图谱处理工具CiteSpace对免疫学相关的1 490余篇论文进行分析,通过关键词分析、聚类分析、爆发点分析等方法,对免疫学相关热点进行分析,明确免疫学主要组成部分。识别近17年来免疫学相关研究的热点,理清国内相关领域研究的发展过程,以此来清晰地把握国内免疫学研究相关领域的研究现状,并对未来相关领域的发展做出预测。

Knowledge graph technology can make complex projects visible and significantly improve the expression effect between entities.The research fields related to immunology are very wide.This paper uses the knowledge graph processing tool CiteSpace to analyze more than 1 490 immunology related papers,analyzes the hot spots related to immunology through keyword analysis,cluster analysis,outbreak point analysis and other methods,and identifies the main components of immunology.Identify the hot spots of immunology related research in the past 17 years,clarify the development process of domestic research in related fields,so as to clearly grasp the research status of domestic immunology related fields and predict the development of related fields in the future.