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2006 Using PageRank to characterize web structure
Gopal Pandurangan, Prabhakar Raghavan, Eli Upfal
Internet Math. 3(1): 1-20 (2006).


Recent work on modeling the web graph has dwelt on capturing the degree distributions observed on the web. Pointing out that this represents a heavy reliance on “local” properties of the web graph, we study the distribution of PageRank values on the web. Our measurements suggest that PageRank values on the web follow a power law. We then develop generative models for the web graph that explain this observation and moreover remain faithful to previously studied degree distributions. We analyze these models and compare the analysis to both snapshots from the web and to graphs generated by simulations on the new models. To our knowledge this represents the first modeling of the web that goes beyond fitting degree distributions on the web.


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Gopal Pandurangan. Prabhakar Raghavan. Eli Upfal. "Using PageRank to characterize web structure." Internet Math. 3 (1) 1 - 20, 2006.


Published: 2006
First available in Project Euclid: 30 March 2007

zbMATH: 1113.68313
MathSciNet: MR2283881

Primary: 68U35
Secondary: 05C80, 68M10

Rights: Copyright © 2006 A K Peters, Ltd.


Vol.3 • No. 1 • 2006
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