Visual Analysis of Website Browsing Patterns

  • Stephen G. Eick
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2539)


The explosive growth on-line activity has established the echannel as a critical component of how institutions interact with their customers. One of the unique aspects of this channel is the rich instrumentation where it is literally possible to capture every visit, click, page view, purchasing decision, and other fine-grained details describing visitor browsing patterns. The problem is that the huge volume of relevant data overwhelms conventional analysis tools. To overcome this problem, we have deve loped a sequence of novel metaphors for visualizing website structure, paths and flow through the site, and website activity. The useful aspect of our tools is that they provide a rich visual interactive workspace for performing ad hoc analysis, discovering patterns, and identifying correlations that are impossible to find with traditional non-visual tools.


Site Structure Information Visualization Page View Shopping Basket Network Cache 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Stephen G. Eick
    • 1
  1. 1.VisintuitNaperville

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