Popular web hot spots identification and visualization

Authors:
D. Avramouli;J. Garofalakis;D. J. Kavvadias;C. Makris;Y. Panagis;E. Sakkopoulos
Affiliations:
University of Patras;Internet and Multimedia Technologies and University of Patras;University of Patras;University of Patras;Internet and Multimedia Technologies and University of Patras;Internet and Multimedia Technologies and University of Patras
Venue:
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Year:
2005

Citing 4
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Abstract

This work aims a two-fold contribution: it presents a software to analyse logfiles and visualize popular web hot spots and, additionally, presents an algorithm to use this information in order to identify subsets of the website that display large access patterns. Such information is extremely valuable to the site maintainer, since it indicates points that may need content intervention or/and site graph restructuring. Experimental validation verified that the visualization tool, when coupled with algorithms that infer frequent traversal patterns, is both effective in indicating popular hot spots and efficient in doing so by using graph-based representations of popular traversals.