The reflection of hierarchical cluster analysis of co-occurrence matrices in SPSS

CORC > 文献情报中心 > 中国科学院文献情报中心 > Journal of Data and Information Science > Chinese Journal of Library and Information Science-2015

	The reflection of hierarchical cluster analysis of co-occurrence matrices in SPSS
	ZHOU Qiuju1 ; LENG Fuhai1 ; LEYDESDORFF Loet 2
刊名	chinese journal of library and information science
	2015-06-27
卷号	8 期号:2 页码:11-24
关键词	Co-occurrence matrices Hierarchical cluster analysis SPSS Similarity algorithm The syntax editor
通讯作者	fuhai leng (e-mail: lengfh@mail.las.ac.cn).
中文摘要	purpose: to discuss the problems arising from hierarchical cluster analysis of co-occurrence matrices in spss, and the corresponding solutions. design/methodology/approach: we design different methods of using the spss hierarchical clustering module for co-occurrence matrices in order to compare these methods. we offer the correct syntax to deactivate the similarity algorithm for clustering analysis within the hierarchical clustering module of spss. findings: when one inputs co-occurrence matrices into the data editor of the spss hierarchical clustering module without deactivating the embedded similarity algorithm, the program calculates similarity twice, and thus distorts and overestimates the degree of similarity. practical implications: we offer the correct syntax to block the similarity algorithm for clustering analysis in the spss hierarchical clustering module in the case of co-occurrence matrices. this syntax enables researchers to avoid obtaining incorrect results. originality/value: this paper presents a method of editing syntax to prevent the default use of a similarity algorithm for spss's hierarchical clustering module. this will help researchers, especially those from china, to properly implement the co-occurrence matrix when using spss for hierarchical cluster analysis, in order to provide more scientific and rational results.
英文摘要	purpose: to discuss the problems arising from hierarchical cluster analysis of co-occurrence matrices in spss, and the corresponding solutions. design/methodology/approach: we design different methods of using the spss hierarchical clustering module for co-occurrence matrices in order to compare these methods. we offer the correct syntax to deactivate the similarity algorithm for clustering analysis within the hierarchical clustering module of spss. findings: when one inputs co-occurrence matrices into the data editor of the spss hierarchical clustering module without deactivating the embedded similarity algorithm, the program calculates similarity twice, and thus distorts and overestimates the degree of similarity. practical implications: we offer the correct syntax to block the similarity algorithm for clustering analysis in the spss hierarchical clustering module in the case of co-occurrence matrices. this syntax enables researchers to avoid obtaining incorrect results. originality/value: this paper presents a method of editing syntax to prevent the default use of a similarity algorithm for spss's hierarchical clustering module. this will help researchers, especially those from china, to properly implement the co-occurrence matrix when using spss for hierarchical cluster analysis, in order to provide more scientific and rational results.
学科主题	新闻学与传播学 ; 图书馆、情报与文献学
收录类别	其他
原文出处	http://www.chinalibraries.net
语种	英语
内容类型	期刊论文
源URL	[http://ir.las.ac.cn/handle/12502/7807]
专题	文献情报中心_Journal of Data and Information Science_Chinese Journal of Library and Information Science-2015
作者单位	1.National Science Library, Chinese Academy of Sciences, 100190 Beijing, China 2.University of Amsterdam, Amsterdam School of Communication Research (ASCoR), PO Box 15793, 1001 NG Amsterdam, the Netherlands
推荐引用方式 GB/T 7714	ZHOU Qiuju,LENG Fuhai,LEYDESDORFF Loet. The reflection of hierarchical cluster analysis of co-occurrence matrices in SPSS[J]. chinese journal of library and information science,2015,8(2):11-24.
APA	ZHOU Qiuju,LENG Fuhai,&LEYDESDORFF Loet.(2015).The reflection of hierarchical cluster analysis of co-occurrence matrices in SPSS.chinese journal of library and information science,8(2),11-24.
MLA	ZHOU Qiuju,et al."The reflection of hierarchical cluster analysis of co-occurrence matrices in SPSS".chinese journal of library and information science 8.2(2015):11-24.