PageRank, HITS and a unified framework for link analysis

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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 ... continued below

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Ding, Chris; He, Xiaofeng; Husbands, Parry; Zha, Hongyuan & Simon, Horst October 1, 2001.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 32 times . More information about this article can be viewed below.

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Description

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. These results support the notion that in web resource ranking indegree and outdegree are of fundamental importance. Rankings of webgraphs of different sizes and queries are presented to illustrate our analysis.

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OSTI as DE00813492

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  • 25th ACM SIGIR Conference on Research & Development in Information Retrieval, Tampere (FI), 08/11/2002--08/15/2002

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  • Report No.: LBNL--50007
  • Grant Number: AC03-76SF00098
  • Office of Scientific & Technical Information Report Number: 813492
  • Archival Resource Key: ark:/67531/metadc738949

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Office of Scientific & Technical Information Technical Reports

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  • October 1, 2001

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  • Oct. 18, 2015, 6:40 p.m.

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  • April 4, 2016, 3:32 p.m.

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Ding, Chris; He, Xiaofeng; Husbands, Parry; Zha, Hongyuan & Simon, Horst. PageRank, HITS and a unified framework for link analysis, article, October 1, 2001; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc738949/: accessed November 19, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.