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In Proceedings of the 20th ACM conference on Hypertext and hypermedia - HT '09 (9 Oct 2012), pp. 239-244, doi:10.1145/1557914.1557955 Key: citeulike:5019503
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Folksonomies provide a rich source of data to study social patterns taking place on the World Wide Web. Here we study the temporal patterns of users' tagging activity. We show that the statistical properties of inter-arrival times between subsequent tagging events cannot be explained without taking into account correlation in users' behaviors. This shows that social interaction in collaborative tagging communities shapes the evolution of folksonomies. A consensus formation process involving the usage of a small number of tags for a given resources is observed through a numerical and analytical analysis of some well-known folksonomy datasets.
The paper focuses on the users' behaviors and shows that social interaction shapes the evolution of folksonomies. And as a side effect detects the spam activity automatically.
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- 2009-11-15 12:15:11
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