摘要
共词分析是图情领域的基本分析方法之一,探索构建时序共词网络并实现其动态可视化,对于改进、丰富经典共词分析方法具有一定的意义。本文提出时序共词网络构建及其动态可视化方法,首先抽取关键词时间标签,利用关键词的时间标签及其共现关系构建时序共词网络邻接表单数据;然后,基于可视化方法构建时间分层的共词网络图谱,并结合交互式可视化技术实现时序共词网络的动态可视化,从而有效揭示共词网络的动态演变过程。通过对我国图书馆学、情报学领域的数据挖掘相关研究进行实证,验证了本文提出方法的可行性和有效性。
Co-word analysis is a basic analysis method in the field of information. Exploring the construction of a temporal Co-word network and its dynamic visualization has certain significance for improving and enriching classical Co-word analysis methods. In this paper, a method of constructing a temporal Co-word network and its dynamic visualization is proposed. First, the time label of keywords is extracted and then the adjacent form data of the temporal Co-word network are constructed by using the time label of keywords and their co-occurrence relationships. Then, a time-stratified Co-word network map is constructed, on the basis of the visualization method, and the dynamic visualization of the temporal Co-word network is based on interactive visualization technology, thus effectively revealing the dynamic evolution process of the Co-word network. The feasibility and validity of the method proposed in this paper have been verified through empirical study of data mining in the field of Library and Information Science in China.
作者
刘自强
岳丽欣
许海云
方曙
Liu Ziqiang;Yue Lixin;Xu Haiyun;Fang Shu(Chengdu Library of Chinese Academy of Sciences,Chengdu 610041;Department of Library,Information and Archives Management,School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100049;School of Information Resource Management,Renmin University of China,Beijing 100872)
出处
《情报学报》
CSSCI
CSCD
北大核心
2020年第2期186-198,共13页
Journal of the China Society for Scientific and Technical Information
基金
国家自然科学基金项目“基于科学-技术主题关联分析的创新演化路径识别方法研究”（71704170）
四川省科技创新软科学项目“基础研究与应用研究关联视角下的产学研合作对象识别与协同创新模式研究”（2019JDR0091）
关键词
时序
共词网络
交互式
可视化
timing
Co-word network
interactive
visualization
