Interactive web usage mining with the navigation visualizer

Web usage mining, the analysis of user navigation paths through web sites, is a common technique for evaluating site designs or adaptive hypermedia techniques. However, often it is hard to relate aggregated clusters or measures to actual user navigation behavior. By contrast, basic graph-based visualizations of user navigation paths are easier to interpret, but it is difficult to find effective views that convey all the required information. In this paper we present the Navigation Visualizer, a web usage analysis tool that combines the two approaches. The Navigation Visualizer makes use of the rich data set that is collected by the Scone proxy-based web enhancement framework and facilitates dynamic selection of the data and interactive exploration with various layout mechanisms, color codings and markers. Several aggregated measures can be calculated and exported to statistical and data mining packages.

[1]  John E. McEneaney Visualizing and assessing navigation in hypertext , 1999, Hypertext.

[2]  Winfried Lamersdorf,et al.  Scone: Ein Framework zur evaluativen Realisierung von Erweiterungen des Webs , 2003, KiVS.

[3]  Ed Huai-hsin Chi Improving Web Usability Through Visualization , 2002, IEEE Internet Comput..

[4]  Robert Cooley,et al.  The use of web structure and content to identify subjectively interesting web usage patterns , 2003, TOIT.

[5]  Andy Cockburn,et al.  What do web users do? An empirical analysis of web use , 2001, Int. J. Hum. Comput. Stud..

[6]  Pierre Baldi,et al.  Modeling the Internet and the Web: Probabilistic Methods and Algorithms. By Pierre Baldi, Paolo Frasconi, Padhraic Smith, John Wiley and Sons Ltd., West Sussex, England, 2003. 285 pp ISBN 0 470 84906 1 , 2006, Inf. Process. Manag..

[7]  Sougata Mukherjea,et al.  Visualizing the World-Wide Web with the Navigational View Builder , 1995, Comput. Networks ISDN Syst..

[8]  Ivan Herman,et al.  Graph Visualization and Navigation in Information Visualization: A Survey , 2000, IEEE Trans. Vis. Comput. Graph..

[9]  Eelco Herder,et al.  Site Structure and User Navigation: Models, Measures, and Methods , 2004 .

[10]  Paul P. Maglio,et al.  Intermediaries personalize information streams , 2000, CACM.

[11]  Chaomei Chen,et al.  Information Visualisation and Virtual Environments , 1999 .

[12]  Cyrus Shahabi,et al.  Knowledge discovery from users Web-page navigation , 1997, Proceedings Seventh International Workshop on Research Issues in Data Engineering. High Performance Database Management for Large-Scale Applications.

[13]  Jeffrey Heer,et al.  What did they do? understanding clickstreams with the WebQuilt visualization system , 2002, AVI '02.