BibSonomyburst/bibtex/1fc5f2df61d28bc99b7e15029da125588BibSonomy RSS feed for /bibtex/1fc5f2df61d28bc99b7e15029da1255882012-02-17T15:50:57+01:00http://www.bibsonomy.org/bibtex/2da6c676c5664017247c7564fc247b190/beatebeate2011-12-18T18:48:14+01:00folksonomy network-properties tagging <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Baldassarri">Andrea Baldassarri</a>, <a href="/author/Servedio">Vito D. P. Servedio</a>, <a href="/author/Loreto">Vittorio Loreto</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Grahl">Miranda Grahl</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering&#039;&#039;</em> <em>20(4):245-262</em> (<em>2007</em>)Sun Dec 18 18:48:14 CET 2011AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering''4245-262Network Properties of Folksonomies202007folksonomy network-properties tagging See http://www.bibsonomy.org/bibtex/2e1a5234a896b1f422473b1fe5d91e26b/stumme for a shorter workshop version.http://www.bibsonomy.org/bibtex/2da6c676c5664017247c7564fc247b190/bertaberta2011-03-03T16:27:53+01:00BibSonomy BibTeX folksonomy network <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Baldassarri">Andrea Baldassarri</a>, <a href="/author/Servedio">Vito D. P. Servedio</a>, <a href="/author/Loreto">Vittorio Loreto</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Grahl">Miranda Grahl</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering&#039;&#039;</em> <em>20(4):245-262</em> (<em>2007</em>)Thu Mar 03 16:27:53 CET 2011AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering''4245-262Network Properties of Folksonomies202007BibSonomy BibTeX folksonomy network See http://www.bibsonomy.org/bibtex/2e1a5234a896b1f422473b1fe5d91e26b/stumme for a shorter workshop version.http://www.bibsonomy.org/bibtex/21dfe8b2aa29adf4929cbb845950f78bc/dbenzdbenz2011-02-17T17:41:53+01:00background emergentsemantics_evidence folksonomy network ol_web2.0 property sna taggingsurvey <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Baldassarri">Andrea Baldassarri</a>, <a href="/author/Servedio">Vito D. P. Servedio</a>, <a href="/author/Loreto">Vittorio Loreto</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Grahl">Miranda Grahl</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>AI Communications</em> <em>20(4):245--262</em> (<em>December 2007</em>)Thu Feb 17 17:41:53 CET 2011Amsterdam, The NetherlandsAI Communicationsdec4245--262Network properties of folksonomies202007background emergentsemantics_evidence folksonomy network ol_web2.0 property sna taggingsurvey Social resource sharing systems like YouTube and del.icio.us have acquired a large number of users within the last few years. They provide rich resources for data analysis, information retrieval, and knowledge discovery applications. A first step towards this end is to gain better insights into content and structure of these systems. In this paper, we will analyse the main network characteristics of two of these systems. We consider their underlying data structures - so-called folksonomies - as tri-partite hypergraphs, and adapt classical network measures like characteristic path length and clustering coefficient to them.Subsequently, we introduce a network of tag co-occurrence and investigate some of its statistical properties, focusing on correlations in node connectivity and pointing out features that reflect emergent semantics within the folksonomy. We show that simple statistical indicators unambiguously spot non-social behavior such as spam.http://www.bibsonomy.org/bibtex/2da6c676c5664017247c7564fc247b190/dbenzdbenz2011-01-28T11:33:26+01:002007 semantics emergent folksonomy tagorapub folksonomies l3s network itegpub fca <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Baldassarri">Andrea Baldassarri</a>, <a href="/author/Servedio">Vito D. P. Servedio</a>, <a href="/author/Loreto">Vittorio Loreto</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Grahl">Miranda Grahl</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering&#039;&#039;</em> <em>20(4):245-262</em> (<em>2007</em>)Fri Jan 28 11:33:26 CET 2011AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering''4245-262Network Properties of Folksonomies2020072007 semantics emergent folksonomy tagorapub folksonomies l3s network itegpub fca See http://www.bibsonomy.org/bibtex/2e1a5234a896b1f422473b1fe5d91e26b/stumme for a shorter workshop version.http://www.bibsonomy.org/bibtex/2f15cc7613101babb2c3ed1927e35213a/jaeschkejaeschke2011-01-27T13:37:04+01:00folksonomy ol_tut2010 property sna analysis network social <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Baldassarri">Andrea Baldassarri</a>, <a href="/author/Servedio">Vito D. P. Servedio</a>, <a href="/author/Loreto">Vittorio Loreto</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Grahl">Miranda Grahl</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>AI Communications</em> <em>20(4):245--262</em> (<em>December 2007</em>)Thu Jan 27 13:37:04 CET 2011Amsterdam, The NetherlandsAI Communicationsdec4245--262Network Properties of Folksonomies202007folksonomy ol_tut2010 property sna analysis network social Social resource sharing systems like YouTube and del.icio.us have acquired a large number of users within the last few years. They provide rich resources for data analysis, information retrieval, and knowledge discovery applications. A first step towards this end is to gain better insights into content and structure of these systems. In this paper, we will analyse the main network characteristics of two of these systems. We consider their underlying data structures - so-called folksonomies - as tri-partite hypergraphs, and adapt classical network measures like characteristic path length and clustering coefficient to them. Subsequently, we introduce a network of tag co-occurrence and investigate some of its statistical properties, focusing on correlations in node connectivity and pointing out features that reflect emergent semantics within the folksonomy. We show that simple statistical indicators unambiguously spot non-social behavior such as spam. http://www.bibsonomy.org/bibtex/2289cc373c8bdf5e9748c75800aba294c/kweiandkweiand2010-05-13T11:34:37+02:00imported <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Baldassarri">Andrea Baldassarri</a>, <a href="/author/Servedio">Vito Domenico Pietro Servedio</a>, <a href="/author/Loreto">Vittorio Loreto</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Grahl">Miranda Grahl</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>AI Commun.</em> <em>20(4):245-262</em> (<em>2007</em>)Thu May 13 11:34:37 CEST 2010AI Commun.4245-262Network properties of folksonomies202007imported http://www.bibsonomy.org/bibtex/2da6c676c5664017247c7564fc247b190/trudetrude2010-05-03T10:30:05+02:002007 _todo folksonomy socialNetwork tagging <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Baldassarri">Andrea Baldassarri</a>, <a href="/author/Servedio">Vito D. P. Servedio</a>, <a href="/author/Loreto">Vittorio Loreto</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Grahl">Miranda Grahl</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering&#039;&#039;</em> <em>20(4):245-262</em> (<em>2007</em>)Mon May 03 10:30:05 CEST 2010AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering''4245-262Network Properties of Folksonomies2020072007 _todo folksonomy socialNetwork tagging Social resource sharing systems like YouTube and del.icio.us have acquired a large number of users within the last few years. They provide rich resources for data analysis, information retrieval, and knowledge discovery applications. A first step towards this end is to gain better insights into content and structure of these systems. In this paper, we will analyse the main network characteristics of two of these systems. We consider their underlying data structures – so-called folksonomies – as tri-partite hypergraphs, and adapt classical network measures like characteristic path length and clustering coefficient to them. Subsequently, we introduce a network of tag cooccurrence and investigate some of its statistical properties, focusing on correlations in node connectivity and pointing out features that reflect emergent semantics within the folksonomy. We show that simple statistical indicators unambiguously spot non-social behavior such as spam.See http://www.bibsonomy.org/bibtex/2e1a5234a896b1f422473b1fe5d91e26b/stumme for a shorter workshop version.http://www.bibsonomy.org/bibtex/21dfe8b2aa29adf4929cbb845950f78bc/ueberueber2010-04-21T16:27:56+02:00folksonomies <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Baldassarri">Andrea Baldassarri</a>, <a href="/author/Servedio">Vito D. P. Servedio</a>, <a href="/author/Loreto">Vittorio Loreto</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Grahl">Miranda Grahl</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>AI Communications</em> <em>20(4):245--262</em> (<em>December 2007</em>)Wed Apr 21 16:27:56 CEST 2010Amsterdam, The NetherlandsAI Communicationsdec4245--262Network properties of folksonomies202007folksonomies Social resource sharing systems like YouTube and del.icio.us have acquired a large number of users within the last few years. They provide rich resources for data analysis, information retrieval, and knowledge discovery applications. A first step towards this end is to gain better insights into content and structure of these systems. In this paper, we will analyse the main network characteristics of two of these systems. We consider their underlying data structures - so-called folksonomies - as tri-partite hypergraphs, and adapt classical network measures like characteristic path length and clustering coefficient to them. Subsequently, we introduce a network of tag co-occurrence and investigate some of its statistical properties, focusing on correlations in node connectivity and pointing out features that reflect emergent semantics within the folksonomy. We show that simple statistical indicators unambiguously spot non-social behavior such as spam. http://www.bibsonomy.org/bibtex/21dfe8b2aa29adf4929cbb845950f78bc/macekmacek2010-02-24T17:04:43+01:00Folksonomy Measures Network Web2.0 <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Baldassarri">Andrea Baldassarri</a>, <a href="/author/Servedio">Vito D. P. Servedio</a>, <a href="/author/Loreto">Vittorio Loreto</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Grahl">Miranda Grahl</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>AI Communications</em> <em>20(4):245--262</em> (<em>December 2007</em>)Wed Feb 24 17:04:43 CET 2010Amsterdam, The NetherlandsAI Communicationsdec4245--262Network properties of folksonomies202007Folksonomy Measures Network Web2.0 Social resource sharing systems like YouTube and del.icio.us have acquired a large number of users within the last few years. They provide rich resources for data analysis, information retrieval, and knowledge discovery applications. A first step towards this end is to gain better insights into content and structure of these systems. In this paper, we will analyse the main network characteristics of two of these systems. We consider their underlying data structures - so-called folksonomies - as tri-partite hypergraphs, and adapt classical network measures like characteristic path length and clustering coefficient to them. Subsequently, we introduce a network of tag co-occurrence and investigate some of its statistical properties, focusing on correlations in node connectivity and pointing out features that reflect emergent semantics within the folksonomy. We show that simple statistical indicators unambiguously spot non-social behavior such as spam. http://www.bibsonomy.org/bibtex/2da6c676c5664017247c7564fc247b190/sdosdo2010-01-29T16:45:14+01:00BibSonomy BibTeX folksonomy network <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Baldassarri">Andrea Baldassarri</a>, <a href="/author/Servedio">Vito D. P. Servedio</a>, <a href="/author/Loreto">Vittorio Loreto</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Grahl">Miranda Grahl</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering&#039;&#039;</em> <em>20(4):245-262</em> (<em>2007</em>)Fri Jan 29 16:45:14 CET 2010AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering''4245-262Network Properties of Folksonomies202007BibSonomy BibTeX folksonomy network See http://www.bibsonomy.org/bibtex/2e1a5234a896b1f422473b1fe5d91e26b/stumme for a shorter workshop version.http://www.bibsonomy.org/bibtex/2da6c676c5664017247c7564fc247b190/kasimirokasimiro2009-07-21T09:25:39+02:00analysis folksonomy network <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Baldassarri">Andrea Baldassarri</a>, <a href="/author/Servedio">Vito D. P. Servedio</a>, <a href="/author/Loreto">Vittorio Loreto</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Grahl">Miranda Grahl</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering&#039;&#039;</em> <em>20(4):245-262</em> (<em>2007</em>)Tue Jul 21 09:25:39 CEST 2009AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering''4245-262Network Properties of Folksonomies202007analysis folksonomy network See http://www.bibsonomy.org/bibtex/2e1a5234a896b1f422473b1fe5d91e26b/stumme for a shorter workshop version.http://www.bibsonomy.org/bibtex/2da6c676c5664017247c7564fc247b190/stummestumme2009-07-03T00:01:45+02:002007 emergent fca folksonomies folksonomy itegpub l3s myown network semantics seminar2009 tagorapub <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Baldassarri">Andrea Baldassarri</a>, <a href="/author/Servedio">Vito D. P. Servedio</a>, <a href="/author/Loreto">Vittorio Loreto</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Grahl">Miranda Grahl</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering&#039;&#039;</em> <em>20(4):245-262</em> (<em>2007</em>)Fri Jul 03 00:01:45 CEST 2009AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering''4245-262Network Properties of Folksonomies2020072007 emergent fca folksonomies folksonomy itegpub l3s myown network semantics seminar2009 tagorapub See http://www.bibsonomy.org/bibtex/2e1a5234a896b1f422473b1fe5d91e26b/stumme for a shorter workshop version.http://www.bibsonomy.org/bibtex/2d87e198a6d564ae8a8fe151e0a96fa0f/annebaanneba2009-02-24T14:21:21+01:00folksonomy social-network <span class="authorEditorList"><a href="/author/Cattuto">C. Cattuto</a>, <a href="/author/Schmitz">C. Schmitz</a>, <a href="/author/Baldassarri">A. Baldassarri</a>, <a href="/author/Servedio">V. D. P. Servedio</a>, <a href="/author/Loreto">V. Loreto</a>, <a href="/author/Hotho">A. Hotho</a>, <a href="/author/Grahl">M. Grahl</a>, and <a href="/author/Stumme">G. Stumme</a> </span><em>AI Communications</em> <em>20(4):245 - 262</em> (<em>2007</em>)Tue Feb 24 14:21:21 CET 2009AI Communications4245 - 262Network Properties of Folksonomies202007folksonomy social-network Social resource sharing systems like YouTube and del.icio.us have acquired a large number of users within the last few years. They provide rich resources for data analysis, information retrieval, and knowledge discovery applications. A first step towards this end is to gain better insights into content and structure of these systems. In this paper, we will analyse the main network characteristics of two of these systems. We consider their underlying data structures – so-called folksonomies – as tri-partite hypergraphs, and adapt classical network measures like characteristic path length and clustering coefficient to them. Subsequently, we introduce a network of tag cooccurrence and investigate some of its statistical properties, focusing on correlations in node connectivity and pointing out features that reflect emergent semantics within the folksonomy. We show that simple statistical indicators unambiguously spot non-social behavior such as spam.http://www.bibsonomy.org/bibtex/2d87e198a6d564ae8a8fe151e0a96fa0f/steff83steff832009-02-10T11:10:33+01:00folksonomy master_thesis network properties <span class="authorEditorList"><a href="/author/Cattuto">C. Cattuto</a>, <a href="/author/Schmitz">C. Schmitz</a>, <a href="/author/Baldassarri">A. Baldassarri</a>, <a href="/author/Servedio">V. D. P. Servedio</a>, <a href="/author/Loreto">V. Loreto</a>, <a href="/author/Hotho">A. Hotho</a>, <a href="/author/Grahl">M. Grahl</a>, and <a href="/author/Stumme">G. Stumme</a> </span><em>AI Communications</em> <em>20(4):245 - 262</em> (<em>2007</em>)Tue Feb 10 11:10:33 CET 2009AI Communications4245 - 262Network Properties of Folksonomies202007folksonomy master_thesis network properties http://www.bibsonomy.org/bibtex/2d87e198a6d564ae8a8fe151e0a96fa0f/folkefolke2009-01-07T13:03:32+01:00clustering community folksonomy <span class="authorEditorList"><a href="/author/Cattuto">C. Cattuto</a>, <a href="/author/Schmitz">C. Schmitz</a>, <a href="/author/Baldassarri">A. Baldassarri</a>, <a href="/author/Servedio">V. D. P. Servedio</a>, <a href="/author/Loreto">V. Loreto</a>, <a href="/author/Hotho">A. Hotho</a>, <a href="/author/Grahl">M. Grahl</a>, and <a href="/author/Stumme">G. Stumme</a> </span><em>AI Communications</em> <em>20(4):245 - 262</em> (<em>2007</em>)Wed Jan 07 13:03:32 CET 2009AI Communications4245 - 262Network Properties of Folksonomies202007clustering community folksonomy http://www.bibsonomy.org/bibtex/2c193de88180d960b290016b47a33cbbc/rwdairwdai2008-10-26T10:47:04+01:002007folksonomiesmyownnetworkpropertiessosbuch <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Baldassarri">Andre Baldassarri</a>, <a href="/author/Servedio">Vito D. P. Servedio</a>, <a href="/author/Loreto">Vittorio Loreto</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Grahl">Miranda Grahl</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>AI Communications Special Issue on &#034;Network Analysis in Natural Sciences and Engineering&#034;</em> (<em>2007</em>)Sun Oct 26 10:47:04 CET 2008AI Communications Special Issue on "Network Analysis in Natural Sciences and Engineering"Network Properties of Folksonomies20072007folksonomiesmyownnetworkpropertiessosbuch http://www.bibsonomy.org/bibtex/28dc7eab25cbc4c37bb7b92a5dce659e4/dblpdblp2008-08-06T00:00:00+02:00dblp <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Baldassarri">Andrea Baldassarri</a>, <a href="/author/Servedio">Vito Domenico Pietro Servedio</a>, <a href="/author/Loreto">Vittorio Loreto</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Grahl">Miranda Grahl</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>AI Commun.</em> <em>20(4):245-262</em> (<em>2007</em>)Wed Aug 06 00:00:00 CEST 2008AI Commun.4245-262Network properties of folksonomies.202007dblp dblphttp://www.bibsonomy.org/bibtex/2f15cc7613101babb2c3ed1927e35213a/suharasuhara2008-05-28T01:29:10+02:00folksonomy <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Baldassarri">Andrea Baldassarri</a>, <a href="/author/Servedio">Vito D. P. Servedio</a>, <a href="/author/Loreto">Vittorio Loreto</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Grahl">Miranda Grahl</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>AI Communications</em> <em>20(4):245 - 262</em> (<em>2007</em>)Wed May 28 01:29:10 CEST 2008AI Communications4245 - 262Network Properties of Folksonomies202007folksonomy http://www.bibsonomy.org/bibtex/2d87e198a6d564ae8a8fe151e0a96fa0f/mschubermschuber2008-05-27T09:38:20+02:002007 networks reading-group to-read web-science <span class="authorEditorList"><a href="/author/Cattuto">C. Cattuto</a>, <a href="/author/Schmitz">C. Schmitz</a>, <a href="/author/Baldassarri">A. Baldassarri</a>, <a href="/author/Servedio">V. D. P. Servedio</a>, <a href="/author/Loreto">V. Loreto</a>, <a href="/author/Hotho">A. Hotho</a>, <a href="/author/Grahl">M. Grahl</a>, and <a href="/author/Stumme">G. Stumme</a> </span><em>AI Communications</em> <em>20(4):245 - 262</em> (<em>2007</em>)Tue May 27 09:38:20 CEST 2008AI Communications4245 - 262Network Properties of Folksonomies2020072007 networks reading-group to-read web-science http://www.bibsonomy.org/bibtex/2d87e198a6d564ae8a8fe151e0a96fa0f/chriskoernerchriskoerner2008-05-21T13:02:44+02:00TOREAD folksonomies graphs networks <span class="authorEditorList"><a href="/author/Cattuto">C. Cattuto</a>, <a href="/author/Schmitz">C. Schmitz</a>, <a href="/author/Baldassarri">A. Baldassarri</a>, <a href="/author/Servedio">V. D. P. Servedio</a>, <a href="/author/Loreto">V. Loreto</a>, <a href="/author/Hotho">A. Hotho</a>, <a href="/author/Grahl">M. Grahl</a>, and <a href="/author/Stumme">G. Stumme</a> </span><em>AI Communications</em> <em>20(4):245 - 262</em> (<em>2007</em>)Wed May 21 13:02:44 CEST 2008AI Communications4245 - 262Network Properties of Folksonomies202007TOREAD folksonomies graphs networks