Web Structure Mining: Exploring Hyperlinks and Algorithms for Information Retrieval

This paper focus on the Hyperlink analysis, the algorithms used for link analysis, compare those algorithms and the role of hyperlink analysis in Web searching. In the hyperlink analysis, the number of incoming links to a page and the number of outgoing links from that page will be analyzed and the...

Full description

Bibliographic Details
Main Authors: Ravi, K., Singh, Ashutosh Kumar
Other Authors: CUTSE
Format: Conference Paper
Published: CSM, Sarawak 2009
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/19925
_version_ 1848750167265640448
author Ravi, K.
Singh, Ashutosh Kumar
author2 CUTSE
author_facet CUTSE
Ravi, K.
Singh, Ashutosh Kumar
author_sort Ravi, K.
building Curtin Institutional Repository
collection Online Access
description This paper focus on the Hyperlink analysis, the algorithms used for link analysis, compare those algorithms and the role of hyperlink analysis in Web searching. In the hyperlink analysis, the number of incoming links to a page and the number of outgoing links from that page will be analyzed and the reliability of the linking will be analyzed. Authorities and Hubs concept of Web pages will be explored. The different algorithms used for Link analysis like PageRank, HITS (Hyperlink-Induced Topic Search) and other algorithms will be discussed and compared. The formula used by those algorithms will be explored.
first_indexed 2025-11-14T07:32:31Z
format Conference Paper
id curtin-20.500.11937-19925
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T07:32:31Z
publishDate 2009
publisher CSM, Sarawak
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-199252017-10-02T02:26:57Z Web Structure Mining: Exploring Hyperlinks and Algorithms for Information Retrieval Ravi, K. Singh, Ashutosh Kumar CUTSE Web Graph Web Mining Web Content PageRank Information Retrieval Web Structure Weighted PageRank and HITS Hyperlink Analysis This paper focus on the Hyperlink analysis, the algorithms used for link analysis, compare those algorithms and the role of hyperlink analysis in Web searching. In the hyperlink analysis, the number of incoming links to a page and the number of outgoing links from that page will be analyzed and the reliability of the linking will be analyzed. Authorities and Hubs concept of Web pages will be explored. The different algorithms used for Link analysis like PageRank, HITS (Hyperlink-Induced Topic Search) and other algorithms will be discussed and compared. The formula used by those algorithms will be explored. 2009 Conference Paper http://hdl.handle.net/20.500.11937/19925 CSM, Sarawak fulltext
spellingShingle Web Graph
Web Mining
Web Content
PageRank
Information Retrieval
Web Structure
Weighted PageRank and HITS
Hyperlink Analysis
Ravi, K.
Singh, Ashutosh Kumar
Web Structure Mining: Exploring Hyperlinks and Algorithms for Information Retrieval
title Web Structure Mining: Exploring Hyperlinks and Algorithms for Information Retrieval
title_full Web Structure Mining: Exploring Hyperlinks and Algorithms for Information Retrieval
title_fullStr Web Structure Mining: Exploring Hyperlinks and Algorithms for Information Retrieval
title_full_unstemmed Web Structure Mining: Exploring Hyperlinks and Algorithms for Information Retrieval
title_short Web Structure Mining: Exploring Hyperlinks and Algorithms for Information Retrieval
title_sort web structure mining: exploring hyperlinks and algorithms for information retrieval
topic Web Graph
Web Mining
Web Content
PageRank
Information Retrieval
Web Structure
Weighted PageRank and HITS
Hyperlink Analysis
url http://hdl.handle.net/20.500.11937/19925