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SIGIR
2002
ACM

PageRank, HITS and a unified framework for link analysis

8 years 6 months ago
PageRank, HITS and a unified framework for link analysis
Two popular webpage ranking algorithms are HITS and PageRank. HITS emphasizes mutual reinforcement between authority and hub webpages, while PageRank emphasizes hyperlink weight normalization and web surfing based on random walk models. We systematically generalize/combine these concepts into a unified framework. The ranking framework contains a large algorithm space; HITS and PageRank are two extreme ends in this space. We study several normalized ranking algorithms which are intermediate between HITS and PageRank, and obtain closed-form solutions. We show that, to first order approximation, all ranking algorithms in this framework, including PageRank and HITS, lead to same ranking which is highly correlated with ranking by indegree. Rankings of webgraphs of different sizes and queries are presented to illustrate our analysis.
Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hon
Added 23 Dec 2010
Updated 23 Dec 2010
Type Journal
Year 2002
Where SIGIR
Authors Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon
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