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 theoretical
analysis of some well-known folksonomy datasets.
%0 Conference Paper
%1 capocci2009statistical
%A Capocci, Andrea
%A Baldassarri, Andrea
%A Servedio, Vito D.P.
%A Loreto, Vittorio
%B HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia
%C New York, NY, USA
%D 2009
%I ACM
%K dynamics folksonomies fp119 fullPaper ht2009 semiotic semiotics small worlds
%T Statistical Properties of Inter-arrival Times Distribution in Social Tagging Systems
%X 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 theoretical
analysis of some well-known folksonomy datasets.
@inproceedings{capocci2009statistical,
abstract = {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 theoretical
analysis of some well-known folksonomy datasets.},
added-at = {2009-06-16T15:00:02.000+0200},
address = {New York, NY, USA},
author = {Capocci, Andrea and Baldassarri, Andrea and Servedio, Vito D.P. and Loreto, Vittorio},
biburl = {https://www.bibsonomy.org/bibtex/2f56c4923899cb59501c5b0e0b9feb641/ht09},
booktitle = {HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia},
interhash = {f5bee0c8b95c9f52e3cee5c4ba8084ae},
intrahash = {f56c4923899cb59501c5b0e0b9feb641},
keywords = {dynamics folksonomies fp119 fullPaper ht2009 semiotic semiotics small worlds},
month = {July},
paperid = {fp119},
publisher = {ACM},
session = {Full Paper},
timestamp = {2009-06-16T15:00:05.000+0200},
title = {Statistical Properties of Inter-arrival Times Distribution in Social Tagging Systems},
year = 2009
}