Works (2)

Updated: July 5th, 2023 15:55

2009 journal article

ORDINAL RANKING FOR GOOGLE'S PAGERANK

SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 30(4), 1677–1696.

By: R. Wills* & I. Ipsen*

Contributors: R. Wills* & I. Ipsen

author keywords: ranking distance; power method; stochastic matrix; PageRank; Google matrix; ordinal rank; roundoff error
TL;DR: This work presents computationally efficient criteria that can guarantee correct ordinal ranking of Google's PageRank scores when they are computed with the power method, and discusses the tightness of the ranking criteria, and illustrates their effectiveness for top k and bucket ranking. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2006 journal article

Google's PageRank - The Math behind the search engine

MATHEMATICAL INTELLIGENCER, 28(4), 6–11.

By: R. Wills n

TL;DR: Despite claims that the quality of search provided by Yahoo! and MSN now equals that of Google, Google continues to thrive as the search engine of choice receiving over 46% of all search requests, nearly double the volume of Yahoo!'s and over four times theVolume of MSN. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.