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Quantitative analysis and characterization of Wikipedia requests

Published: 08 September 2008 Publication History

Abstract

Our poster describes the quantitative analysis carried out to study the use of the Wikipedia system by its users with special focus on the identification of time and kind-of-use patterns, characterization of traffic and workload, and comparative analysis of different language editions. By filtering and classifying a large sample of the requests directed to the Wikimedia systems over 7 days we have been able to identify important information such us the targeted namespaces, the visited resources or the requested actions. The results found include the identification of weekly and daily patterns, and several correlations between different actions on the articles. In summary, the study shows an overall picture of how the most visited language editions of the Wikipedia are being accessed by their users.

References

[1]
T. B. Adler and L. de Alfaro. A content-driven reputation system for the wikipedia. In WWW '07: Proceedings of the 16th international conference on World Wide Web, pages 261--270, New York, NY, USA, 2007. ACM Press.
[2]
R. Priedhorsky, J. Chen, Shyong, K. Panciera, L. Terveen, and John. Creating, destroying, and restoring value in wikipedia. November 2007.
[3]
G. Urdaneta, P. Guillaume, and M. Van Steen. Wikipedia workload analysis, September 2007.

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Published In

cover image ACM Other conferences
WikiSym '08: Proceedings of the 4th International Symposium on Wikis
September 2008
219 pages
ISBN:9781605581286
DOI:10.1145/1822258

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  • University of Porto

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 September 2008

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Author Tags

  1. Wikipedia
  2. quantitative analysis
  3. request characterization
  4. temporal patterns
  5. workload analysis

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  • Research-article

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WikiSym08
Sponsor:
WikiSym08: 2008 International Symposium on Wikis
September 8 - 10, 2008
Porto, Portugal

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Overall Acceptance Rate 69 of 145 submissions, 48%

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