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Exploration of the network spun by website users

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Title: Exploration of the network spun by website users
Authors: Evans, T
Argent-Katwala, A
Harder, U
Item Type: Conference Paper
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.
Issue Date: 31-Jul-2007
URI: http://hdl.handle.net/10044/1/5804
Publisher Link: http://aesop.doc.ic.ac.uk/conferences/ukpew/2007
Presented At: 23rd Annual UK Performance Engineering Workshop (UKPEW 2007)
Start Page: 118
End Page: 121
Copyright Statement: © 2007 The Authors
Conference Location: Edge Hill University, UK,
Appears in Collections:Computing
High Performance Informatics