Scientometrics

, Volume 93, Issue 1, pp 217–232 | Cite as

Exploring Web keyword analysis as an alternative to link analysis: a multi-industry case

Article

Abstract

The study explored the feasibility of using Web keyword analysis as an alternative to link analysis and tested the feasibility in a multi-industry environment. The keyword is the organization’s name, in this case the company name. American companies from five industries were included in the study. The study found that the Web visibility of a company as measured by the number of Webpages on which the company name appears correlates with the company’s business measures (revenue, profits, and assets). The correlation coefficients are similar to that between the inlink counts and the business measures. This suggests that the keyword count (searched by the company name) could replace inlink count as an alternative indicator of some commonly used business measures. The co-word (the co-occurrence of the names of two companies on Webpages) count was used as a measure of the relatedness of the two companies. Multidimensional scaling (MDS) analysis was applied to the co-word matrices and generated MDS maps that showed relationships among companies in a multi-industry context. Keyword data were collected from three different types of Websites (general Websites, blog sites, and Web news sites) and results were compared. The study found blog sites to be the better source to collect data for this type of study. The comparison of MDS maps generated from co-link data and the blog co-word data showed that the co-word analysis is as effective as co-link analysis in mapping business relationships. The value of the study is not limited to the business sector as the co-word method could be applied to analysing relationships among other types of organizations.

Keywords

Web keyword analysis Web visibility Business performance Business relationships Webometrics 

References

  1. Bar-Ilan, J. (2005). What do we know about links and linking? A framework for studying links in academic environments. Information Processing and Management, 41(4), 973–986.CrossRefGoogle Scholar
  2. Google (2011). Links to your site. http://www.google.com/support/webmasters/bin/answer.py?hl=en&answer=55281. Accessed 14 July 2011.
  3. Holmberg, K.J. (2009). Webometric network analysis: Mapping cooperation and geopolitical connections between local government administration on the Web. Ph.D. dissertation, Åbo Akademi University, Finland.Google Scholar
  4. Ingwersen, P. (1998). The calculation of Web impact factors. Journal of Documentation, 54(2), 236–243.CrossRefGoogle Scholar
  5. Kim, J. H., Barnett, G. A., & Park, H. W. (2010). A Hyperlink and issue network analysis of the United States senate: A rediscovery of the Web as a relational and topical medium. Journal of the American Society for Information Science and Technology, 61(8), 1598–1611.Google Scholar
  6. Li, X., Thelwall, M., Musgrove, P., & Wilkinson, D. (2003). The relationship between the links/Web Impact Factors of computer science departments in UK and their RAE (Research Assessment Exercise) ranking in 2001. Scientometrics, 57(2), 239–255.CrossRefGoogle Scholar
  7. Mergent (2009). North America—heavy construction sectors. March 2009, http://webreports.mergent.com. Accessed 14 September 2010.
  8. Mergent (2010a, b, c, d). North America—(Banking Sectors/IT & Technology Sectors/Media Sectors/Mining Sectors). April 2010. http://webreports.mergent.com. Accessed 14 September 2010.
  9. Ortega, J. L., & Aguillo, I. (2009). Mapping world-class universities on the Web. Information Processing & Management, 45(2), 272–279.CrossRefGoogle Scholar
  10. Ortega, J. L., Aguillo, I., Cothey, V., & Scharnhorst, A. (2008). Maps of the academic web in the European higher education area—an exploration of visual web indicators. Scientometrics, 74(2), 295–308.CrossRefGoogle Scholar
  11. Romero-Frías, E., & Vaughan, L. (2010a). European political trends viewed through patterns of Web linking. Journal of the American Society for Information Science and Technology, 61(10), 2109–2121.CrossRefGoogle Scholar
  12. Romero-Frías, E., & Vaughan, L. (2010b). Patterns of Web linking to heterogeneous groups of companies: The case of stock exchange indexes. Aslib Proceedings New Information Perspectives, 62(2), 144–164.Google Scholar
  13. Seidman, E. (2007). We are flattered, but… Retrieved Oct. 24, 2011 from http://web.archive.org/web/20081219045957/http://blogs.msdn.com/livesearch/archive/2007/03/28/we-are-flattered-but.aspx. (Could not retrieve the original page. This is the archived page on Internet Archive).
  14. Smith, A., & Thelwall, M. (2002). Web impact factors for Australasian universities. Scientometrics, 54(1–2), 363–380.CrossRefGoogle Scholar
  15. Thelwall, M. (2001). Extracting macroscopic information from web links. Journal of the American Society for Information Science and Technology, 52(13), 1157–1168.CrossRefGoogle Scholar
  16. Thelwall, M., & Sud, P. (2011). A comparison of methods for collecting web citation data for academic organisations. Journal of the American Society for Information Science and Technology, 62(8), 1488–1497.CrossRefGoogle Scholar
  17. Thelwall, M., & Wilkinson, D. (2004). Finding similar academic Web sites with links, bibliometric couplings and colinks. Information Processing & Management, 40(3), 515–526.CrossRefGoogle Scholar
  18. Vaughan, L., & Romero-Frías, E. (2010). Web hyperlink patterns and the financial variables of the global banking industry. Journal of Information Science, 36(4), 530–541.CrossRefGoogle Scholar
  19. Vaughan, L., & You, J. (2010). Word co-occurrences on Webpages as a measure of the relatedness of organizations: a new Webometrics concept. Journal of Informetrics, 4(4), 483–491.CrossRefGoogle Scholar
  20. Vaughan, L., Yang, R., & Tang, J. (in press). Web co-word analysis for business intelligence in the Chinese environment. Aslib Proceedings: New Information Perspectives.Google Scholar
  21. Yahoo! (2011). Web Search APIs from Yahoo! Search. http://developer.yahoo.com/search/web/webSearch.html. Accessed 24 October 2011.

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2012

Authors and Affiliations

  1. 1.Faculty of Information and Media StudiesUniversity of Western OntarioLondonCanada
  2. 2.Department of Accounting and FinanceUniversity of GranadaGranadaSpain

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