# Around power law for PageRank components in Buckley-Osthus model of web graph

## TL;DR

This paper investigates the power law distribution of PageRank components in the Buckley-Osthus web graph model, comparing numerical methods and confirming the power law hypothesis through extensive experiments.

## Contribution

It introduces a comprehensive comparison of numerical methods for PageRank calculation within the Buckley-Osthus model and confirms the power law distribution of PageRank components.

## Key findings

- Power law distribution confirmed for PageRank components
- Best numerical method identified for PageRank computation
- Numerical experiments support the power law hypothesis

## 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.

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Source: https://tomesphere.com/paper/1701.02595