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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

Using data stretching over more than 5 years for the website 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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