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- Publisher
- Emerald Publishing
- Copyright
- Copyright © 2007 Emerald Group Publishing Limited. All rights reserved.
- ISSN
- 1066-2243
- DOI
- 10.1108/10662240710737040
- Publisher site
- See Article on Publisher Site
Abstract
Purpose – This web mining paper aims at analyzing whether the number of links pointing to a web page is biased by the structure of web sites. Design/methodology/approach – By web‐design mining methods, two collections of web pages are extracted and the in‐links counts are determined by querying web search engines. Findings – The paper finds that the structure bias and pages on a higher hierarchical level are likely to receive more links than other pages. Research limitations/implications – The links are set by web page authors whose behaviour is not yet fully understood and which requires further research. Practical implications – The paper shows that the structure bias of in‐links should be considered by link analysis measures used in search engines. Potential consequences are presented. Originality/value – The number of links toward a web page are considered to be an indicator for the quality of that page. This measure is biased and cannot be solely trusted as a knowledge source for the quality of a page.
Journal
Internet Research – Emerald Publishing
Published: Apr 10, 2007
Keywords: Information retrieval; Internet; Worldwide web