A method for identifying clusters in sets of interlinking Web spaces

被引:27
作者
Musgrove, PB [1 ]
Binns, R [1 ]
Page-Kennedy, T [1 ]
Thelwall, M [1 ]
机构
[1] Wolverhampton Univ, Sch Comp & Informat Technol, Wolverhampton WV1 1EL, W Midlands, England
关键词
D O I
10.1023/B:SCIE.0000006886.37828.4a
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A technique is presented for the identification of patterns from the links between large Web spaces and is applied to data concerning the interlinking of university Web sites in fifteen European countries. This is based upon a procedure for normalising the data so that it can be analysed using standard multivariate statistical techniques and is less susceptible to individual outliers than standard methods. The approach was successfully able to identify clusters of European countries based upon data for their universities' interlinking patterns. For example, the northern countries were differentiated from the southern with this method.
引用
收藏
页码:657 / 672
页数:16
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