2014Unpublished venueRequires access

A survey: hyperlink analysis in webpage ranking algorithms

Deepak Kumar Ganeshiya, Dilip Kumar Sharma

Open publisher page 2 citations

Abstract

World Wide Web is the collection of web pages which are linked to each other directly or indirectly. Through these hyperlinks among webpages, web graph is created by following these hyperlinks. In the field of webpage ranking, hyperlink analysis is used in most of the researches. Hyperlink analysis is the approach to analyze various resources around the hyperlink in the webpage. In hyperlink analysis, there are various resources or parameters are used which affect the webpage ranking, these are number of inlinks and outlinks, anchor text, anchor-related text, etc. Different researchers use these parameters in their research alone or in combination. This paper provides a survey on hyperlink analysis in the webpage ranking algorithms. In this paper classification of webpage ranking algorithms is also given based on different parameters and web mining techniques.

About this research paper

What this paper is about

World Wide Web is the collection of web pages which are linked to each other directly or indirectly. Through these hyperlinks among webpages, web graph is created by following these hyperlinks. In the field of webpage ranking, hyperlink analysis is used in most of the researches. Hyperlink analysis is the approach to analyze various resources around the hyperlink in the webpage. In hyperlink analysis, there are various resources or parameters are used which affect the webpage ranking, these are number of inlinks and outlinks, anchor text, anchor-related text, etc. Different researchers use these parameters in their research alone or in combination. This paper provides a survey on hyperlink analysis in the webpage ranking algorithms. In this paper classification of webpage ranking algorithms is also given based on different parameters and web mining techniques.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

World Wide Web is the collection of web pages which are linked to each other directly or indirectly. Through these hyperlinks among webpages, web graph is created by following these hyperlinks. In the field of webpage ranking, hyperlink analysis is used in most of the researches. Hyperlink analysis is the approach to analyze various resources around the hyperlink in the webpage. In hyperlink analysis, there are various resources or parameters are used which affect the webpage ranking, these are number of inlinks and outlinks, anchor text, anchor-related text, etc. Different researchers use these parameters in their research alone or in combination. This paper provides a survey on hyperlink analysis in the webpage ranking algorithms. In this paper classification of webpage ranking algorithms is also given based on different parameters and web mining techniques.

Key concepts: Hyperlink, Web page, Computer science, Ranking (information retrieval), Information retrieval, World Wide Web, Backlink, Static web page

Related papers

Back to paper searchBrowse research topicsOriginal source
A survey: hyperlink analysis in webpage ranking algorithms — Research Paper | ScholarLens