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Reseach Article

A Modified Algorithm to Handle Dangling Pages using Hypothetical Node

by Shipra Srivastava, Rinkle Rani Aggrawal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 7
Year of Publication: 2012
Authors: Shipra Srivastava, Rinkle Rani Aggrawal
10.5120/7361-0136

Shipra Srivastava, Rinkle Rani Aggrawal . A Modified Algorithm to Handle Dangling Pages using Hypothetical Node. International Journal of Computer Applications. 48, 7 ( June 2012), 26-32. DOI=10.5120/7361-0136

@article{ 10.5120/7361-0136,
author = { Shipra Srivastava, Rinkle Rani Aggrawal },
title = { A Modified Algorithm to Handle Dangling Pages using Hypothetical Node },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 7 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 26-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number7/7361-0136/ },
doi = { 10.5120/7361-0136 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:43:28.811698+05:30
%A Shipra Srivastava
%A Rinkle Rani Aggrawal
%T A Modified Algorithm to Handle Dangling Pages using Hypothetical Node
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 7
%P 26-32
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The information on the web is intensifying day by day due to which there is a bulky amount of information available on the web. With this large amount of information available on the web, the process of searching has become a complex task. To overcome this problem there is a necessity of some efficient search engine. With such a search engine information retrieval becomes simple. A PageRank algorithm is used to serve this process. A PageRank algorithm places the most important pages at high ranks depending upon the number of in-links linking to that page. Google search engine developed the Page Rank technique to rank pages and had become the most effective search engine. Page Rank arranges the order of the user's search result based on the relevance of the search of the information In this paper problem of the Dangling pages that is associated with page rank algorithm is been discussed. Dangling pages produce the inaccurate page rank of non-dangling pages. These pages also produce the philosophical issues and computational issue. In previous study for solving the philosophical issue with dangling node a hypothetical node is added to the web graph. But this hypothetical node increases the computation issue because the number of iteration to converge the algorithm is increased. In this paper a' modified algorithm to handle the dangling node with hypothetical node without increasing computational issue which is raise due to addition of hypothetical node is discussed.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Page Rank Dangling Pages Convergence Stochastic Matrix Markov Chain