摘要
学术文献中蕴含着丰富的引用信息,文献引用是科研评价和文献计量领域的主要分析对象和研究热点。相比基于数学和统计学的定量分析方法,利用可视化方法既可以实现引用信息时序、层次结构的直观呈现,也可以实现复杂引用网络的交互式挖掘,对科研评价改革和文献计量方法创新具有重要意义。文中首先介绍了近年来国内外学术引用信息分析的相关研究,总结了学术引用信息可视化的一般框架;然后根据实体评价和文献计量两类应用场景对可视化方法进行分类,详细阐述了可视化方法在两类应用场景中的研究现状和优缺点;最后指出了学术引用信息可视化面临的挑战和进一步探索的方向。
Academic literature includes abundant citation information,which becomes the major analysis object and hot topic in both bibliometry and scientific research evaluation field.Compared with quantitative analysis methods based on mathematics and statistics,the use of visualization methods can realize the vivid presentation of citation information in time sequence and hierarchy,as well as the interactive mining of complex citation networks,which is of great significance to the reform of scientific research evaluation and the innovation of bibliometric methods.This paper introduces domestic and foreign relevant research on academic citation information analysis in recent years,summarizes the general framework of academic citation information visualization;classifies visualization methods according to two types of analysis tasks,entity evaluation and bibliometry,then elaborates the current research status,advantages and disadvantages of each type of methods,and finally points out the challenges and directions for further exploration of academic citation information visualization.
作者
朱敏
梁朝晖
姚林
王翔坤
曹梦琦
ZHU Min;LIANG Zhao-hui;YAO Lin;WANG Xiang-kun;CAO Meng-qi(College of Computer Science,Sichuan University,Chengdu 610065,China;Wu Yuzhang Honors College,Sichuan University,Chengdu 610207,China)
出处
《计算机科学》
CSCD
北大核心
2022年第4期88-99,共12页
Computer Science
基金
四川省科技创新苗子工程(2019035)。
关键词
学术引用
可视化方法
文献计量
科研评价
知识图谱
Academic citation
Visualization method
Bibiometry
Entity evaluation
Mapping of knowledge
