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A complementary note on "Web log analysis method"

Jamali, Hamid R. (2004) A complementary note on "Web log analysis method". Informology 1(3):pp. 177-187.

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Abstract

[Persian abstract]

[English abstract]

This short article is a complementary note on the article "Web log analysis method" by Hajar Sotudeh published in Informology (Vol.1, No.2, pp.69-84) which discussed methodological aspects of the Web log analysis method. The present note explains some of the technical problems of the method including caching, user identification, session continuity, effects of spiders and robots, size of data and disadvantages of proprietary web log analysis softwares. Some techniques for improving the quality of research output of the web log analysis are also described.

Keywords:Web log analysis, Website
Subjects:C. Users, literacy and reading. > CA. Use studies.
H. Information sources, supports, channels. > HQ. Web pages.
L. Information technology and library technology. > LC. Internet, including WWW.
ID Code:5831
Deposited By:Jamali, Hamid
Deposited On:15 March 2006
All fields:Show all fields

Arms, W. Y. (2000). Digital Libraries. Cambridge: MIT press.

Davis, P. M., and Solla, L. R. (2003). An IP-Level analysis of usage statistics for electronic journals in chemistry: making inferences about user behavior. Journal of the American Society for Information Science and Technology 54(11), 1062-1068.

Fieber, John, Browser caching and Web log analysis, [Online], last visited 18/02/2004, available at: http://ella.slis.indiana.edu/~jfieber/papers/bcwla/bcwla.html

Gutzman, A. (1999). Analysing traffic on your E-commerce site [Online], last visited 18/02/2004, available at: http://ecommerce.internet.com/news/insights/ectech/article/0,,9561_00.html

Nicholas, D., and Huntington, P. (2003). Micro-mining and segmented log file analysis: a method for enriching the data yield from Internet log files. Journal of Information Science 29(5), 391-404.

Nicholas, D., Huntington, P., Lievesley, N., and Wasti, A. (2000). Evaluating consumer website logs: a case study of The Times/The Sunday Times website. Journal of Information Science 26(6), 399-411.

Nicholas, D., Huntington, P., Lievesley, N., and Withey, R. (1999). Cracking the code: Web log analysis. Online & CD-ROM Review 23(5), 263-265.

Nicholas, D., Huntington, P., and Watkinson, Anthony. (2003). Digital journals, Big Deal and online searching behaviour: a pilot study. Aslib Proceedings: New Information Perspectives. 55(1-2): 84-109.

Nicholas, D., Huntington, P., and Williams, P. (2001). Establishing metrics for the evaluation of touch screen kiosks. Journal of Information Science. 27(2): 61-71

Nicholas, D., Huntington, P., and Williams, P. (2002). Evaluating metrics for comparing the use of Web sites: a case study of two consumer health web sites. Journal of Information Science 28(1), 63-75.

Zawitz, M. W. (1998) Web statistics- measuring user activity. [Online], last visited 18/02/2004, available at: http://www.ojp.usdoj.gov/bjs/pub/ascii/wsmua.txt

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