HITS is principal components analysis

M. Saerens, François Fouss
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引用次数: 9

Abstract

In this work, we show that Kleinberg's hubs and authorities model (HITS) is simply principal components analysis (PCA; maybe the most widely used multivariate statistical analysis method), albeit without centering, applied to the adjacency matrix of the graph of Web pages. We further show that a variant of HITS, SALSA, is closely related to correspondence analysis, another standard multivariate statistical analysis method. In addition, to provide a clear statistical interpretation for HITS, this result suggests to rely on existing work already published in the multivariate statistical analysis literature (extensions of PCA or correspondence analysis) in order to analyse or design new Web pages scoring procedures.
HITS是主成分分析
在这项工作中,我们表明Kleinberg的枢纽和权威模型(HITS)是简单的主成分分析(PCA);可能是最广泛使用的多元统计分析方法),尽管没有居中,但应用于Web页面图的邻接矩阵。我们进一步表明,HITS的变体SALSA与另一种标准的多元统计分析方法对应分析密切相关。此外,为了对HITS提供一个清晰的统计解释,该结果建议依靠已经发表在多元统计分析文献(PCA或对应分析的扩展)中的现有工作来分析或设计新的网页评分程序。
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