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The blue social bookmark and publication sharing system.

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Analyzing Social Bookmarking Systems: A del.icio.us Cookbook

by: Robert Wetzker, Carsten Zimmermann, and Christian Bauckhage

In: Mining Social Data MSoDa Workshop Proceedings (July 2008) , p. 26-30.

Resources (URL, PDF, PS...)

URL:	http://robertwetzker.com/wp-content/uploads/2008/06/wetzker_delicious_ecai2008_final.pdf

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.

BibTeX record

@inproceedings{wetzker_2008,
  abstract = {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.},
  added-at = {2008-11-26T09:55:55.000+0100},
  author = {Wetzker, Robert and Zimmermann, Carsten and Bauckhage, Christian},
  biburl = {http://www.bibsonomy.org/bibtex/2c71aa17db3959585ed3320dcefe7f39b/kormoran},
  booktitle = {Mining Social Data (MSoDa) Workshop Proceedings},
  interhash = {cdd8d32ba6507335a3b856419afc71c3},
  intrahash = {c71aa17db3959585ed3320dcefe7f39b},
  keywords = {delicious folksonomy socialbookmarking tagology},
  month = {July},
  organization = {ECAI 2008},
  pages = {26-30},
  timestamp = {2008-11-26T09:55:55.000+0100},
  title = {Analyzing Social Bookmarking Systems: A del.icio.us Cookbook},
  url = {http://robertwetzker.com/wp-content/uploads/2008/06/wetzker_delicious_ecai2008_final.pdf},
  year = 2008
}

Endnote record

%0 Conference Paper
%1 wetzker_2008
%A Wetzker, Robert
%A Zimmermann, Carsten
%A Bauckhage, Christian
%B Mining Social Data (MSoDa) Workshop Proceedings
%D 2008
%K 
%P 26-30
%T Analyzing Social Bookmarking Systems: A del.icio.us Cookbook
%U http://robertwetzker.com/wp-content/uploads/2008/06/wetzker_delicious_ecai2008_final.pdf
%X 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.

BibSonomy :: publication ::

Analyzing Social Bookmarking Systems: A del.icio.us Cookbook

Resources (URL, PDF, PS...)

Abstract

BibTeX record

Endnote record