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Exploration of the network spun by website users

Ashok Argent-Katwala, T. S. Evans, Uli Harder

National Workshop Paper
23rd Annual UK Performance Engineering Workshop (UKPEW 2007), Edge Hill University, UK, July 9th-10th, 2007
July, 2007
pp.118–121
Abstract

Using data stretching over more than 5 years for the website http://gallery.future-i.com/ this paper investigates basic properties of the popularity of pictures and the way users navigate through the website. We find that the rank frequency plot of the downloaded pictures follows a Zipf law. The download rate of individual popular pictures over time resembles that seen of infection rates of diseases. The graph created by successive downloads of pictures shows a power law that does not change over different time periods. We discuss how our findings can be modelled and how they are of importance to website performance.

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