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About the Power Law of the PageRank Vector Component Distribution. Part 2. The Buckley–Osthus Model, Verification of the Power Law for This Model, and Setup of Real Search Engines

Сибирский журнал вычислительной математики. 2018. Т. 21. № 1. С. 23–45.
Gasnikov A., Dvurechensky P., Жуковский М. Е., Ким С. В., Плаунов С. С., Смирнов Д. А., Носков Ф. А.

This paper continues article [13]. Here we consider the Buckley–Osthus model for formation of an Internet network. We numerically calculate the PageRank vector for networks generated by this model.We show that the components of this vector are distributed according to a power law. We also discuss the computational aspects of this model with respect to the numerical methods for calculation of the PageRank vector, which were presented in the first part of the work. Finally, we describe a more general model for web-page ranking and some approaches to solve the optimization problem arising in this model learning.

Language: Russian
DOI
Keywords: марковская цепь эргодическая теорема
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