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a_olympia's BibTeX entry:  

The Structure of Collaborative Tagging Systems

2005.
Authors: Scott Golder and Bernardo A. Huberman
URL: http://arxiv.org/abs/cs.DL/0508082
Description: citeulike
Tags: classification clustering collaboration collaborative collaborative_tagging collective community computer-networks cooperation core_periphery datamining delicious emergence emergent eni farsi-media folksonomies folksonomy ict information_organization interface linguistics network_analysis networking networks no-tag scale-free self-organization semantics semiotics social social-networks social_networks socialbookmarking socialnets socialsoftware socialtagging sociology software tag tagging tags trends wasabee web20
Abstract: Collaborative tagging describes the process by which many users add metadata in the form of keywords to shared content. Recently, collaborative tagging has grown in popularity on the web, on sites that allow users to tag bookmarks, photographs and other content. In this paper we analyze the structure of collaborative tagging systems as well as their dynamical aspects. Specifically, we discovered regularities in user activity, tag frequencies, kinds of tags used, bursts of popularity in bookmarking and a remarkable stability in the relative proportions of tags within a given url. We also present a dynamical model of collaborative tagging that predicts these stable patterns and relates them to imitation and shared knowledge.
| URL | BibTeX  
@misc{citeulike:305755,
title = {The Structure of Collaborative Tagging Systems},
author = {Scott Golder and Bernardo A. Huberman},
month = {Aug},
url = {http://arxiv.org/abs/cs.DL/0508082},
year = {2005},
description = {citeulike},
abstract = {Collaborative tagging describes the process by which many users add metadata in the form of keywords to shared content. Recently, collaborative tagging has grown in popularity on the web, on sites that allow users to tag bookmarks, photographs and other content. In this paper we analyze the structure of collaborative tagging systems as well as their dynamical aspects. Specifically, we discovered regularities in user activity, tag frequencies, kinds of tags used, bursts of popularity in bookmarking and a remarkable stability in the relative proportions of tags within a given url. We also present a dynamical model of collaborative tagging that predicts these stable patterns and relates them to imitation and shared knowledge.},
eprint = {cs.DL/0508082}, priority = {3}, citeulike-article-id = {305755},
keywords = {classification clustering collaboration collaborative collaborative_tagging collective community computer-networks cooperation core_periphery datamining delicious emergence emergent eni farsi-media folksonomies folksonomy ict information_organization interface linguistics network_analysis networking networks no-tag scale-free self-organization semantics semiotics social social-networks social_networks socialbookmarking socialnets socialsoftware socialtagging sociology software tag tagging tags trends wasabee web20 }
}