Abstract
As the enterprise Informatization process goes through deep, an increasing number of enterprises deploy their web sites on the internet, making the web sites become a brand of the enterprise. Thus, it is very necessary to evaluate the quality for enterprise web sites. However, almost the total current website evaluation methods have ignored the external web influence factors of quantitative evaluation and can’t work effectively. In this paper, we employ the weblink analysis method to evaluate the web influence for enterprise web sites, combing 17 link analysis indicators obtained by Google and AltaVista. We then explored the relationship between the web sites type and web influence and discussed the performance of the link indicators and link analysis tools. The whole analysis is based on our experiments, using the data accepted from 2006 Top 500 companies list of China and 2006 Fortune 500 companies list in the world.
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References
Alexasir,com (January 10, 2007); http://www.alexasir.com/tech.html.
Cec-ceda,org (January 7, 2007); http://www.cec-ceda.org.cn/yxqywz/pxbz.htm
Forrester (January 12, 2007); http://www.forrester.com.
A.B. Huang, D.M. Zhao, “A research on the evaluation indicator system for B2C website”, Commercial Research, 2006(1): 192–194.
Ingwersen. “The calculation of WEB attractiveness factor”, Journal of Documentation, 1998, 54, 236–243 www.//bacterio.cict.fr/backlinks.html.
Y.H. Li, S.J. Tang, “An evaluation on electric business website”, Library Theory and Practice, 2006(1): 64–65.
Marcomconsulting (January 6, 2006); http://www.marcomconsulting.net
M. Thelwell, “A Comparation of Source of Links for Academic Web Attractiveness Factor Calculations”, Journal of Documentation, 2002, 58(1), 60–72.
R. Rousseau, “Daily time series of common single worsearches in AltaVista and Northern Light”, [2007-3-2]http://cybermetrics.cindoc.csic.es/pruebas/v2i1p2.htm.
T. Yang, “The Webometrics Study of Twenty China Mainland Universities”, Library and Information Service, 2003(9): 61–66.
Z.P. Wang, web marketing, Wuhan: Central China normal university press, 2003.9: P53–58.
J.K. Xu, “Studying by Comparison the Four Searching Engines in Common Use in the Research of Network Information Measurement”, New Technology of Library and Information Service, 2004(11): 46–48.
M.Z. Yang, Y.L. Zhuang, “A summary on the theory and practice for e-business website evaluation”, Market Modernization, 2006(2): 140–141.
Y. Zhang, Q.H. Zhu, “Application of Fuzzy Analytic Hierarchy Process for Enterprises Websites Evaluation”, New Technology of Library and Information Service, 2006(6):68–71.
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© 2007 International Federation for Information Processing
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Qiu, J., Ren, Q. (2007). Link Analysis and Web Influence Evaluation for Enterprise Websites. In: Wang, W., Li, Y., Duan, Z., Yan, L., Li, H., Yang, X. (eds) Integration and Innovation Orient to E-Society Volume 1. IFIP — The International Federation for Information Processing, vol 251. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-75466-6_34
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DOI: https://doi.org/10.1007/978-0-387-75466-6_34
Publisher Name: Springer, Boston, MA
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