图书馆杂志 ›› 2018, Vol. 37 ›› Issue (5): 67-74.
• 情报研究 • 上一篇 下一篇
杨 颖 崔 雷
出版日期:
发布日期:
作者简介:
Yang Ying, Cui Lei
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摘要： 目的：本文将双聚类的方法用于同被引分析，即在同被引分析中充分考虑列属性的特 点，在行和列两个方向，对高频同被引文献及其引用文献进行聚类分析，同时实现同被引聚类分 析和基于高被引论文的引文耦合分析，可探索某领域的基础结构与研究热点。方法：本文以Web of Science网络数据库中的护理研究文献为例，对高频被引论文进行同被引双向聚类分析。结果与结 论：聚类结果通过gCluto软件进行可视化显示，并结合护理研究知识对聚类结果进行分析解释， 总结该领域的学科基础结构和研究热点。
关键词: 同被引分析, 双聚类, gCluto
Abstract: Purpose: In this paper, biclustering was used in co-citation analysis. Co-citations with high frequency and citations were clustered at the same time, so that co-citation analysis and citation coupling analysis were performed simultaneously to explore the intellectual base and research front of certain field. Method: Co-citation biclustering analysis of the highly cited papers was performed using the papers on nursing in Web of Science as data source. Result and conclusion: The visualization results were visualized by gCluto. The intellectual base of nursing research and its hot research spots were summarized.
Key words: Co-citation analysis, Biclustering analysis, gCluto
杨 颖 崔 雷. 双聚类方法在同被引分析中应用的研究[J]. 图书馆杂志, 2018, 37(5): 67-74.
Yang Ying, Cui Lei. Biclustering in Co-citation Analysis[J]. Libraly Journal, 2018, 37(5): 67-74.
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https://www.libraryjournal.com.cn/CN/Y2018/V37/I5/67
