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
%0 Journal Article
%1 Cattuto_2006
%A Cattuto, Ciro
%D 2006
%J The European Physical Journal C - Particles and Fields
%K analysis folksonomy tagging taxonomy my_thesis
%N /08/18/0
%P 33-37
%R 10.1140/epjcd/s2006-03-004-4
%T Semiotic dynamics in online social communities
%U http://dx.doi.org/10.1140/epjcd/s2006-03-004-4
%V 46
%X 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
@article{Cattuto_2006,
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},
added-at = {2010-08-13T19:48:51.000+0200},
author = {Cattuto, Ciro},
biburl = {https://www.bibsonomy.org/bibtex/278857a3d8c929b528599c0682f28e210/bluedolphin},
doi = {10.1140/epjcd/s2006-03-004-4},
interhash = {6651fe8b8916e8407f738325c092b860},
intrahash = {78857a3d8c929b528599c0682f28e210},
journal = {The European Physical Journal C - Particles and Fields},
keywords = {analysis folksonomy tagging taxonomy my_thesis},
number = {/08/18/0},
pages = {33-37},
timestamp = {2010-08-16T15:28:34.000+0200},
title = {Semiotic dynamics in online social communities},
url = {http://dx.doi.org/10.1140/epjcd/s2006-03-004-4},
volume = 46,
year = 2006
}