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Reseach Article

Analysis of Web Pages through Link Structure

by Sameena Naaz, M Hayat Khan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 11
Year of Publication: 2015
Authors: Sameena Naaz, M Hayat Khan

Sameena Naaz, M Hayat Khan . Analysis of Web Pages through Link Structure. International Journal of Computer Applications. 122, 11 ( July 2015), 22-26. DOI=10.5120/21745-4981

@article{ 10.5120/21745-4981,
author = { Sameena Naaz, M Hayat Khan },
title = { Analysis of Web Pages through Link Structure },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 11 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 22-26 },
numpages = {9},
url = { },
doi = { 10.5120/21745-4981 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T23:11:29.385878+05:30
%A Sameena Naaz
%A M Hayat Khan
%T Analysis of Web Pages through Link Structure
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 11
%P 22-26
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

As we know that web is a collection of huge amount of data, it is not very easy to find relevant information. To find the desired data, user visits different web pages. Most Web users typically use a Web browser to navigate a Web site. They start with the home page or a Web page found through a search engine or linked from another Web site, and then follow the hyperlinks they think relevant in the starting page and the subsequent pages, until they have found the desired information in one or morepages. The aim of this work is to study the different characteristics of various ranking algorithms. Here the factors affecting the ranking of pages of a website are considered and it has been studied that how the popularity of a site can be raised and how spam pages can be tracked. Firstly the importance of different characteristics responsible for Page Ranking are determined. Then by taking this information into consideration a technique is developed that successfully distinguishes spam pages from licit pages.

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Index Terms

Computer Science
Information Sciences


PageRank Inbound Links Outbound Links Spam Page