BibSonomyburst/tag/delicious del.icio.usBibSonomy RSS feed for /tag/delicious del.icio.us2012-02-16T17:27:36+01:00http://www.bibsonomy.org/bibtex/2c71aa17db3959585ed3320dcefe7f39b/rwdairwdai2008-07-29T08:28:06+02:002008 bookmarking del.icio.us delicious ecai folksonomy <span class="authorEditorList"><a href="/author/Wetzker">Robert Wetzker</a>, <a href="/author/Zimmermann">Carsten Zimmermann</a>, and <a href="/author/Bauckhage">Christian Bauckhage</a> </span><em>Mining Social Data MSoDa Workshop Proceedings, </em><em>page 26-30. </em><em>ECAI 2008, </em>(<em>July 2008</em>)Tue Jul 29 08:28:06 CEST 2008Mining Social Data (MSoDa) Workshop ProceedingsJuly26-30Analyzing Social Bookmarking Systems: A del.icio.us Cookbook20082008 bookmarking del.icio.us delicious ecai folksonomy Social bookmarking systems have recently gained interest among researches in the areas of data mining and web intelligence, as they provide a vast amount of user-generated annotations and reflect the interests of millions of people. In this paper, we discuss our initial findings obtained from analyzing a vast corpus of almost 150 million bookmarks found at del.icio.us. Apart from investigating bookmarking and tagging patterns in this data, we discuss evidence that social bookmarking systems are vulnerable to spamming and hence need to be preprocessed before any insightful analysis can be carried out. We present a method, which limits the influence of spam in social bookmarking analysis and provide conclusions and directions for future research.http://www.bibsonomy.org/bibtex/2ceb9c88723801129a13ff1f98fa463af/andreabandreab2007-04-11T19:19:12+02:002006 cattuto collaborative d4.1 del.icio.us delicious dynamics folksonomy loreto semiotic semioticdynamic tagging tagora yule yulesimon <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Loreto">Vittorio Loreto</a>, and <a href="/author/Pietronero">Luciano Pietronero</a> </span><em>Proceedings of the National Academy of Sciences United States of America</em> (<em>2007</em>)Wed Apr 11 19:19:12 CEST 2007http://xxx.lanl.gov/abs/cs.CY/0605015Proceedings of the National Academy of Sciences United States of America1461Semiotic dynamics and collaborative tagging10420072006 cattuto collaborative d4.1 del.icio.us delicious dynamics folksonomy loreto semiotic semioticdynamic tagging tagora yule yulesimon 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 co-occurrence. 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.