Quantitative Analysis of User-Generated Content Distribution and Production Patterns
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The document summarizes research on quantitative analysis of user-generated content on the web. Key findings include: 1) The distribution of user-generated content supply has a heavy tail and follows a Lotka or Weibull distribution, meaning there is no average user and a small number of users generate most content. 2) The production of different types of user-generated content is similar statistically but not identical. 3) The "Pareto principle" (80/20 rule) applies to user-generated content production. 4) Measuring user-generated content is important to test hypotheses about how it is produced and to gain insights for managing sites dependent on this type of content.
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Quantitative Analysis of User-Generated Content Distribution and Production Patterns
- 1. Quantitative Analysis of User-Generated Content on the Web Xavier Ochoa, ESPOL, Ecuador Erik Duval, KULeuven, Bélgica
- 5. Studies
- 9. Findings Lotka (“fat-tail”) Weibull (“fat-belly”)
- 11. Low Class Middle Class High Class
- 17. 50% of Content is generated here
- 18. 50% of Content is generated here
- 22. Xie xie, questions? Xavier Ochoa – [email_address] Erik Duval – [email_address]