Link Analysis in Web Information Retrieval: a Survey

Authors

  • Matheel E. Abdulmunem Department of Computer Science, Technology University, Baghdad, Iraq
  • Esraa Qasim University of Technology https://orcid.org/0000-0001-9304-2979

DOI:

https://doi.org/10.24996/ijs.2023.64.9.36

Keywords:

Link Analysis, Web Data, Information Retrieval, Ranking Algorithms

Abstract

     The analysis of the hyperlink structure of the web has led to significant improvements in web information retrieval. This survey study evaluates and analyzes relevant research publications on link analysis in web information retrieval utilizing diverse methods. These factors include the research year, the aims of the research article, the algorithms utilized to complete their study, and the findings received after using the algorithms. The findings revealed that Page Rank, Weighted Page Rank, and Weighted Page Content Rank are extensively employed by academics to properly analyze hyperlinks in web information retrieval. Finally, this paper analyzes the previous studies.

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Published

2023-09-30

Issue

Section

Computer Science

How to Cite

Link Analysis in Web Information Retrieval: a Survey. (2023). Iraqi Journal of Science, 64(9), 4747-4766. https://doi.org/10.24996/ijs.2023.64.9.36

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