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Semiotic dynamics in online social communities

  • Ciro Cattuto
Young Scientist

Abstract

A distributed classification paradigm known as collaborative tagging has been successfully deployed in large-scale web applications designed to manage and share diverse online resources. Users of these applications organize resources by associating with them freely chosen text labels, or tags. Here we regard tags as basic dynamical entities and study the semiotic dynamics underlying collaborative tagging. We collect data from a popular system and focus on tags associated with a given resource. We find that the frequencies of tags obey to a generalized Zipf’s law and show that a Yule–Simon process with memory can be used to explain the observed frequency distributions in terms of a simple model of user behavior

Keywords

Semiotic System Computer Mediate Communication Memory Kernel Observe Frequency Distribution Dynamical Correspondence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 2006

Authors and Affiliations

  1. 1.Museo Storico della Fisica e Centro Studi e Ricerche “Enrico Fermi” Compendio ViminaleRomaItaly
  2. 2.Dipartimento di FisicaUniversità di Roma “La Sapienza”RomaItaly

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