Two popular link-based webpage ranking algorithms are (ⅰ) PageRank and (ⅱ) HITS (Hypertext Induced Topic Selection). HITS makes the crucial distinction of hubs and authorities and computes them in a mutually reinforcing way. PageRank considers the hyperlink weight normalization and the equilibrium distribution of random surfers as the citation score. We generalize and combine these key concepts into a unified framework, in which we prove that rankings produced by PageRank and HITS are both highly correlated with the ranking by in-degree and out-degree.
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