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Diversity of online community activities
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Conference on Hypertext and Hypermedia archive
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia table of contents
Pittsburgh, PA, USA
POSTER SESSION: Posters table of contents
Pages 227-228  
Year of Publication: 2008
ISBN:978-1-59593-985-2
Authors
Tad Hogg  HP Labs, Palo Alto, CA, USA
Gabor Szabo  HP Labs, Palo Alto, CA, USA
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Web sites where users create and rate content as well as form links display many long-tailed distributions. Using one such site, Essembly, we propose causal mechanisms to explain these behaviors. Unlike purely descriptive models, our mechanisms use only information available to each user. We find the long-tails arise from large diversity of user activity and qualities of the rated content. The models not only explain overall behavior but also allow estimating the qualities of users and content from their early history on the site.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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