美国图书情报学专业TOP高校2006-2011年研究热点聚类分析

Clustering Analysis of the Hot Research Topics in Library and Information Science of the Top 20 American Universities in the 2006-2011 Period

以《美国新闻和世界报导》2012年公布的美国大学图书情报专业排名前20的高校在2006-2011年间发表的SSCI收录文章为数据源,借助BIBEXCEL提取关键词构建相异矩阵,利用SPSS聚类分析,采用平方欧氏距离方法,通过树状图聚类分析,查看研究热点。

This article takes as its data source the SSCI articles of the researchers from the top 20 American universities in library and information studies issued by US News ＆ World Report in 2012, uses the BIBEXCEL software to extract key words to construct a dissimilarity matrix and employs the SPSS hierarchical clustering analysis and the ＂Squared Euclidean Distance＂ method to analyze the hot research topics via tree diagram analysis.