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Collaborative tagging has been quickly gaining ground because of its ability to recruit the activity of web users into effectively organizing and sharing vast amounts of information. Here we collect data from a popular system and investigate the statistical properties of tag cooccurrence. We introduce a stochastic model of user behavior embodying two main aspects of collaborative tagging: (i) a frequency-bias mechanism related to the idea that users are exposed to each other's tagging activity; (ii) a notion of memory, or aging of resources, in the form of a heavy-tailed access to the past state of the system. Remarkably, our simple modeling is able to account quantitatively for the observed experimental features with a surprisingly high accuracy. This points in the direction of a universal behavior of users who, despite the complexity of their own cognitive processes and the uncoordinated and selfish nature of their tagging activity, appear to follow simple activity patterns.
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Ciro Cattuto
Institute for Scientific Interchange
Vittorio Loreto
Enrico Fermi Center for Study and Research
L. Pietronero
Sapienza University of Rome
Proceedings of the National Academy of Sciences
Sapienza University of Rome
Enrico Fermi Center for Study and Research
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Cattuto et al. (Wed,) studied this question.
synapsesocial.com/papers/6a1707960f965e9c137be4a2 — DOI: https://doi.org/10.1073/pnas.0610487104
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