Paper Info
Title
Around power law for PageRank components in Buckley-Osthus model of web graph.
Abstract
In the paper we investigate power law for PageRank components for the Buckley-Osthus model for web graph. We compare different numerical methods for PageRank calculation. With the best method we do a lot of numerical experiments. These experiments confirm the hypothesis about power law. At the end we discuss real model of web-ranking based on the classical PageRank approach.
Year
Venue
Field
2017
arXiv: Optimization and Control
PageRank,Graph,Computer science,Theoretical computer science,Numerical analysis,Power law,Google matrix
DocType
Volume
Citations 
Journal
abs/1701.02595
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Alexander Gasnikov194.23
Maksim Zhukovskii224.51
Sergey Kim300.34
Fedor Noskov400.34
Stepan Plaunov500.34
Daniil Smirnov600.68