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Capturing Users’ Behavior in the National Science Digital Library (NSDL)

Pan, Bing (2003) Capturing Users’ Behavior in the National Science Digital Library (NSDL).

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Abstract

This is a report prepared by the author in the Human-Computer Interaction Group, Information Science Program, Department of Communication at Cornell University. It firstly gives an introduction to NSDL; then the complexity of capturing user’s behavior on the Internet is discussed. The report then discussed the details of this project, including the web log analysis tools used, data cleaning process, the results of data analysis and its interpretation. Finally a general conclusion was given and its implication for digital library design is provided.

EPrint Type:Report
Keywords:Information technology, Digital library, Web log data, Networked world
Subjects:Digital Libraries
User Studies
ID Code:848
Deposited On:16 May 2005
Eprint Statistics:View statistics for this eprint
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Benabdeslem, K., Bennani, Y., & Janvier, E. (2002). Visualization and Analysis of Web Navigation Data. J.R. Dorronsoro (Ed.): ICANN 2002, LNCS 2415, pp. 486-491.

Joshi, A., Joshi, K., & Krishnapuram, R. (2000). On Mining Web Access Logs. ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery.

Ke, H., Kwakkelaar, R., Tai, Y., & Chen, L. (2002). Exploring Behavior of E-Journal Users in Science and Technology: Transaction Log Analysis of Elsevier’s ScienceDirect OnSite in Taiwan. Library & Information Science Research, 24: 265-291.

National Science Foundation. (2003). National Science, Technology, Engineering, and Mathematics Education Digital Library (NSDL): Program Solicitation. Available Online at: http://www.nsf.gov/pubs/2003/nsf03530/nsf03530.htm.

Nicholas, D., Huntington, P., Lievesley, N., & Withey, R. (1999). Cracking the Code: Web Log Analysis. Online & CD-ROM Review, 23(5): 263-267.

Pei, J., Han, J., Mortazavi-Asl, B., & Zhu, H.(2000). Mining Access Patterns efficiently from Web logs. Proc. 2000 Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD'00), Kyoto, Japan, April 2000.

Rozic-Hristovski, A., Hristovski, D., Todorovski, L. (2002). Users’ Information-seeking behavior on a Medical Library Website. Journal of Medical Library Association, April, 2002: 210-217.

Spiliopoulou, M. (1999). The Laborious Way from Data Mining to Web Mining. Int. Journal of Comp. Sys., Sci. & Eng. 14 (1999), Special Issue on Semantics of the Web, 113-126.

Thong, J.Y.L., Hong, W., Tam, K. (2002). Understanding User Acceptance of Digital Libraries: What are the Roles of Interface Characteristics, Organizational Context, and

Individual Differences?. International Journal of Human-Computer Studies, 57(3): 215-242.

Turner, S. (2003). Analog User’s Manual. Available Online at: http://www.analog.cx/docs/Readme.html.

Wadsack-Allen Digital Group. (2003). Documentation for Report Magic 2.21. Available Online at: http://www.reportmagic.org/docs/index.html.

AnalogX. (2003). QuickDNS ReadMe. Available Online at:

http://www.analogx.com/contents/download/network/qdns.htm.

EPrints dLIST, an open access archive for the Information Sciences, is supported by the School of Information Resources and Library Science and Learning Technologies Center, University of Arizona. Established in 2002, dLIST has a global Advisory Board and is a part of the Information Technology & Society Research Lab. Open Archives
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