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A Survey and Comparative Study of Different PageRank Algorithms

by Tahseen A. Jilani, Ubaida Fatima, Mirza Mahmood Baig, Saba Mahmood
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 24
Year of Publication: 2015
Authors: Tahseen A. Jilani, Ubaida Fatima, Mirza Mahmood Baig, Saba Mahmood
10.5120/21410-4444

Tahseen A. Jilani, Ubaida Fatima, Mirza Mahmood Baig, Saba Mahmood . A Survey and Comparative Study of Different PageRank Algorithms. International Journal of Computer Applications. 120, 24 ( June 2015), 24-30. DOI=10.5120/21410-4444

@article{ 10.5120/21410-4444,
author = { Tahseen A. Jilani, Ubaida Fatima, Mirza Mahmood Baig, Saba Mahmood },
title = { A Survey and Comparative Study of Different PageRank Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 24 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 24-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number24/21410-4444/ },
doi = { 10.5120/21410-4444 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:07:06.586989+05:30
%A Tahseen A. Jilani
%A Ubaida Fatima
%A Mirza Mahmood Baig
%A Saba Mahmood
%T A Survey and Comparative Study of Different PageRank Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 24
%P 24-30
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Searching the World Wide Web is an NP complete problem with sparse hyperlink matrices. Thus searching the significant search results is a challenge. Google's PageRank attempted to solve this problem using computing of principle Eigenvalues termed as PageRank vector. After this, a number of techniques were developed to speed up the convergence patterns of pages in the PageRank algorithm. This is paper, we have reviewed a number of of PageRank computation techniques. The main objective of all these techniques is the convergence rate along with space and time complexities. In this paper, a comparative study is presented among Standard Power method, Adaptive Power Method and Aitken's method using SNAP Google web pages dataset.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Google PageRank Aitken's PageRank Power method Adaptive PageRank

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