摘要
为了研究自复位结构的发展现状和趋势,从Web of Science数据库核心合集中检索出自复位结构相关的文献,利用文献计量在线分析平台,采用共词分析法和计量分析法对相关文献进行分析。研究了大数据视域下自复位结构的起源和发展,对我国学者在该领域的研究存在的问题提出建议,并对自复位结构领域未来的发展趋势做出预测。
To study the present development and tendency,literatures related to self-centering structure are retrieved from the core collection of Web of Science database,and the literatures are analyzed by using the online analysis platform of literature as well as the word segmentation method and quantitative analysis.The origin and development of the research field of self-centering structure in the view of big data are studied,suggestions on the problems in the researches of domestic scholars in this field are put forward,and the future tendency of this field is predicted.
作者
陈素芳
Chen Sufang(Southeast University Chengxian College,Nanjing,Jiangsu 210088,China)
出处
《计算机时代》
2020年第10期15-18,23,共5页
Computer Era
基金
江苏省高等学校大学生实践创新训练计划项目(201912689016Y)。
关键词
大数据
共词分析法
计量分析法
自复位结构
趋势
big data
word segmentation method
quantitative analysis
self-centering structure
tendency