Call for Paper - January 2023 Edition
IJCA solicits original research papers for the January 2023 Edition. Last date of manuscript submission is December 20, 2022. Read More

Analysis of Web Pages through Link Structure

Print
PDF
International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 122 - Number 11
Year of Publication: 2015
Authors:
Sameena Naaz
M Hayat Khan
10.5120/21745-4981

Sameena Naaz and Hayat M Khan. Article: Analysis of Web Pages through Link Structure. International Journal of Computer Applications 122(11):22-26, July 2015. Full text available. BibTeX

@article{key:article,
	author = {Sameena Naaz and M Hayat Khan},
	title = {Article: Analysis of Web Pages through Link Structure},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {122},
	number = {11},
	pages = {22-26},
	month = {July},
	note = {Full text available}
}

Abstract

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.

References

  • Nidhi Grover , Ritika Wason , "Comparative Analysis Of Pagerank AndHITS Algorithms", (IJERT), ISSN: 2278-0181 ,Vol. 1 Issue 8, October -2012
  • Olston, C. and Chi, E. H. , "Integrating Browsing and Searching on the Web", ACM Transactions on Computer-Human Interaction (TOCHI), Vol. 10, No. 3, pp. 177-197.
  • Larry Page and Sergey Brin , "The anatomy of a large scale hyper-textual Web search engine", Computer Networks and ISDN Systems, 30(1-7):107–117.
  • Rekha Jain, Dr. G. N. Purohit, "Page Ranking Algorithms for Web Mining", International Journal of Computer Applications (0975 – 8887) Volume 13– No. 5, January 2011.
  • Nan Ma, Jiancheng Guan, Yi Zhao, "Bringing PageRank to the citation analysis" Information Processing and Management 44 (2008) 800–810.
  • Ji-Rong Wen, "Enhancing Web Search through Web Structure Mining" 2009, IGI Global.
  • C. Cooper and A. Frieze. "A general model of web graphs. Random Struct. Algorithms", 22(3):311-335, 2003.
  • Felix Ukpai Ogban, Prince Oghenekaro Asagba, Olumide, "The Illusion in the Presentation of the Rank of a Web Page with Dangling Links", J. Appl. Sci. Environ. Manage. December 2013 Vol. 17 (4) 551-558
  • Z. Gyongyi and H. Garcia-Molina, "Web spam taxonomy", First International Workshop on Adversarial Information Retrieval on the Web, 2005
  • R. Baeza-Yates, P. Boldi, and C. Castillo, "Generalizing PageRank: Damping functions for link-based ranking algorithms", Proceedings of SIGIR, Seattle, Washington, USA, August 2006. ACM Press
  • Junghoo Cho, Hector Garcia-Molina and Lawrence Page, "Efficient Crawling Through URL", rdering (PDF, 1998).
  • Stefano Leonardi,Carlos Castillo,Debora Donato and Ricardo BaezaYates, "LinkBased Characterization and Detection of Web Spam", AIRWEB'06, August 10, 2006, Seattle, Washington, USA.