Application of link wheels to improve search engine ranking of commercial websites.

Zuze, H. & Weideman, M.

Published Online

Zuze, H. & Weideman, M. 2012. Application of link wheels to improve search engine ranking of commercial websites. Working Paper. Presented as a M&D Conference Paper at SAICSIT 2012, Pretoria, South Africa. Online:

The quality of webpage content has an effect on how search engine crawlers index a webpage. Also, the degree of interlinking between websites with a similar focus plays a large role in how search engines perceive them. Link building has become a popular technique in search engine optimisation (SEO). It provides an analysis of inter-document connections and quantitative analyses of the link structure. Search engines' crawlers visit webpages in order to evaluate their respective value in terms of quality, uniqueness and content richness, thereby listing them in accordance to their ranking on a search engine result page. Link wheels are identified as one method of significantly improving this ranking of commercial websites. However, some SEO practitioners maintain that link wheels should not be implemented, since they waste time to create. This raises several fundamental questions that form the basis of this research.
  1. Beel, J. and Gipp, B. 2010. On the Robustness of Google Scholar Against Spam. In Proceedings of the 21st ACM Conference on Hyptertext and Hypermedia (HT'10), Toronto, Canada, 13-16 June 2010: 297-298.
  2. Bowler, L., Hong, W.-Y. and He, D. 2011. The visibility of health web portals for teens: A hyperlink analysis. Online Information Review, 35(3): 443-470.
  3. Egele, M., Kolbitsch, C. and Platzer, C. 2009. Removing web spam links from search engine results. Journal in Computer Virology, 7(1):51-62.
  4. Goldsborough, R. 2005. Get your site noticed without spamming (Personal Computing). Black Issues in Higher Education, 21(26): 40-42.
  5. Mbikiwa, F. and Weideman, M. 2006. Implications of search engine spam on the visibility of South African e-commerce Websites. South African Journal of Information Management, 8(4). [17 October 2012].
  6. Paulussen, S. 2004. Online news production in Flanders: How Flemish online journalists perceive and explore the Internet's potentials. Journal of Computer Mediated Communication, 9(4):449-466.
  7. Thelwall, M. 2004. Link Analysis: An information Science Approach. Oxford: Elsevier Ltd.
  8. Thelwall, M., Sud, P. and Wilkinson, D. 2012. Link and co-inlink network diagrams with URL citations or title mentions. Journal of the American Society for Information Science and Technology, 63(4): 805-816.
  9. Visser, E.B. and Weideman, M. 2011. An empirical study on website usability elements and how they affect search engine optimisation. South African Journal of Information Management 13(1). [15 October 2012].
  10. Weideman, M. 2009. Website Visibility: The theory and practice of improving rankings. Oxford: Woodhead Publishing Limited.
  11. Weideman, M. 2004. Empirical evaluation of one of the relationships between the user, search engines, metadata and web sites in three-letter .com web sites. South African Journal of Information Management, 6(3). [10 August 2012].
  12. Yung, M.E. 2011. Search Engine Optimisation: Have you been crawled over? Crawled-Over [01 April 2012].
  13. Zhao, L. 2004. Jump higher: Analyzing web-site rank in Google. American Library Association, 23(3):108-119.
  14. Zuze, H., Weideman, M. 2010. Keyword density in website body text – search engine spamdexing? Informatics & Design Papers and Reports. [25 June 2012].
Full text of Working Paper No 0013: The role of anchor text in SMME websites: higher visibility?

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