BibSonomyburst/user/stummeBibSonomy RSS feed for /user/stumme2012-02-15T09:07:29+01:00http://www.bibsonomy.org/bibtex/22055df95d68579ed8bad3b114b070deb/stummestumme2012-02-13T11:44:41+01:002012 ACM HT HT12 Hypertext SigWEB conferences <span class="authorEditorList"><a href="/author/Deshpande">Yogesh Deshpande</a> </span><em>SIGWEB Newsl.</em> (<em>January 2012</em>)Mon Feb 13 11:44:41 CET 2012New York, NY, USASIGWEB Newsl.janWinter7:1--7:10Up and coming SIGWEB supported conferences20122012 ACM HT HT12 Hypertext SigWEB conferences SIGWEB supports several specialized conferences, short courses, and workshops, as well as the Annual Hypertext Conference. SIGWEB sponsored conferences focus on timely topics in applied and computational hypertext and Web disciplines and provide a place for members and the entire applied Hypermedia and Web community to exchange ideas and to meet with and expand their network of colleagues. In this article, we provide a brief overview of SIGWEB sponsored conferences, in addition to events that are in cooperation with SIGWEB.Up and coming SIGWEB supported conferenceshttp://www.bibsonomy.org/bibtex/27d41d332cccc3e7ba8e7dadfb7996337/stummestumme2012-02-06T14:59:32+01:002012 bookmarking challenge collaborative dc09 discovery folksonomy myown recommender rsdc08 social tagging <span class="authorEditorList"><a href="/author/Jäschke">Robert Jäschke</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Mitzlaff">Folke Mitzlaff</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Recommender Systems for the Social Web, </em><em>volume 32 of Intelligent Systems Reference Library, </em><em>Springer, </em><em>Berlin/Heidelberg, </em>(<em>2012</em>)Mon Feb 06 14:59:32 CET 2012Berlin/HeidelbergRecommender Systems for the Social Web65--87Intelligent Systems Reference LibraryChallenges in Tag Recommendations for Collaborative Tagging Systems3220122012 bookmarking challenge collaborative dc09 discovery folksonomy myown recommender rsdc08 social tagging Originally introduced by social bookmarking systems, collaborative tagging, or social tagging, has been widely adopted by many web-based systems like wikis, e-commerce platforms, or social networks. Collaborative tagging systems allow users to annotate resources using freely chosen keywords, so called tags . Those tags help users in finding/retrieving resources, discovering new resources, and navigating through the system. The process of tagging resources is laborious. Therefore, most systems support their users by tag recommender components that recommend tags in a personalized way. The Discovery Challenges 2008 and 2009 of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) tackled the problem of tag recommendations in collaborative tagging systems. Researchers were invited to test their methods in a competition on datasets from the social bookmark and publication sharing system BibSonomy. Moreover, the 2009 challenge included an online task where the recommender systems were integrated into BibSonomy and provided recommendations in real time. In this chapter we review, evaluate and summarize the submissions to the two Discovery Challenges and thus lay the groundwork for continuing research in this area.http://www.bibsonomy.org/bibtex/267759358b5176fe432113c95d63b8653/stummestumme2012-02-03T13:07:37+01:00sna theorien <span class="authorEditorList"><a href="/author/Faust">Katherine Faust</a>, <a href="/author/Wassermann"> Wassermann</a>, and <a href="/author/Contractor">Noshir Contractor</a> </span><em> 31, </em><em>page 681-703. </em>(<em>2006</em>)Fri Feb 03 13:07:37 CET 2012681-703Testing multitheoretical, multilevel hypotheses about organizational networks: An analytic framework and empirical example312006sna theorien Testing multitheoretical, multilevel hypotheses about organizational networks: An analytic framework and empirical example | Mendeleyhttp://www.bibsonomy.org/bibtex/2b245d492f1f9fa41b62b79b6dec77241/stummestumme2012-01-17T16:41:44+01:002011 abstractness bind itegpub measuring myown social term <span class="authorEditorList"><a href="/author/Benz">Dominik Benz</a>, <a href="/author/Körner">Christian Körner</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Stumme">Gerd Stumme</a>, and <a href="/author/Strohmaier">Markus Strohmaier</a> </span><em>Proceedings of the 8th Extended Semantic Web Conference ESWC 2011, </em><em>Heraklion, Crete, </em>(<em>May 2011</em>)Tue Jan 17 16:41:44 CET 2012Heraklion, CreteProceedings of the 8th Extended Semantic Web Conference (ESWC 2011)mayOne Tag to Bind Them All: Measuring Term Abstractness in Social Metadata20112011 abstractness bind itegpub measuring myown social term Recent research has demonstrated how the widespread adoption of collaborative tagging systems yields emergent semantics. In recent years, much has been learned about how to harvest the data produced by taggers for engineering light-weight ontologies. For example, existing measures of tag similarity and tag relatedness have proven crucial step stones for making latent semantic relations in tagging systems explicit. However, little progress has been made on other issues, such as understanding the different levels of tag generality (or tag abstractness), which is essential for, among others, identifying hierarchical relationships between concepts. In this paper we aim to address this gap. Starting from a review of linguistic definitions of word abstractness, we first use several large-scale ontologies and taxonomies as grounded measures of word generality, including Yago, Wordnet, DMOZ and Wikitaxonomy. Then, we introduce and apply several folksonomy-based methods to measure the level of generality of given tags. We evaluate these methods by comparing them with the grounded measures. Our results suggest that the generality of tags in social tagging systems can be approximated with simple measures. Our work has implications for a number of problems related to social tagging systems, including search, tag recommendation, and the acquisition of light-weight ontologies from tagging data.http://www.bibsonomy.org/bibtex/20f45e870093c053e6f41f54c14bda46b/stummestumme2012-01-04T11:35:08+01:002011 community itegpub knowledge mining myown <span class="authorEditorList"><a href="/author/Mitzlaff">Folke Mitzlaff</a>, <a href="/author/Atzmueller">Martin Atzmueller</a>, <a href="/author/Benz">Dominik Benz</a>, <a href="/author/Hotho">Andreas Hotho</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Analysis of Social Media and Ubiquitous Data, </em><em>volume 6904 of LNAI, </em>(<em>2011</em>)Wed Jan 04 11:35:08 CET 2012Analysis of Social Media and Ubiquitous DataLNAI{Community Assessment using Evidence Networks}690420112011 community itegpub knowledge mining myown http://www.bibsonomy.org/bibtex/2923d369285422c758398cbe92e3532cd/stummestumme2012-01-04T11:34:35+01:002011 abstractness itegpub measuring metadata myown social <span class="authorEditorList"><a href="/author/Benz">Dominik Benz</a>, <a href="/author/Körner">Christian Körner</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Stumme">Gerd Stumme</a>, and <a href="/author/Strohmaier">Markus Strohmaier</a> </span><em>Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation, </em>(<em>2011</em>)Wed Jan 04 11:34:35 CET 2012Working Notes of the LWA 2011 - Learning, Knowledge, AdaptationOne Tag to Bind Them All: Measuring Term Abstractness in Social Metadata20112011 abstractness itegpub measuring metadata myown social http://www.bibsonomy.org/bibtex/2689b283ba030bb78ed94146aae4bc760/stummestumme2012-01-04T11:33:48+01:00itegpub semantic_maturity semanticmaturity social_bookmarking socialbookmarking <span class="authorEditorList"><a href="/author/Atzmüller">Martin Atzmüller</a>, <a href="/author/Benz">Dominik Benz</a>, <a href="/author/Hotho">Andreas Hotho</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Proceedings of the 4th international workshop on Social Data on the Web SDoW2011, </em>(<em>2011</em>)Wed Jan 04 11:33:48 CET 2012Proceedings of the 4th international workshop on Social Data on the Web (SDoW2011)Towards Mining Semantic Maturity in Social Bookmarking Systems2011itegpub semantic_maturity semanticmaturity social_bookmarking socialbookmarking http://www.bibsonomy.org/bibtex/200a8f31185a34957eb16d500d7d51398/stummestumme2012-01-04T11:32:55+01:002011 aware classification data-mining detection itegpub myown social spam spam-detection web2.0 web20 <span class="authorEditorList"><a href="/author/Bullock">Beate Navarro Bullock</a>, <a href="/author/Lerch">Hana Lerch</a>, <a href="/author/Roßnagel">Alexander Roßnagel</a>, <a href="/author/Hotho">Andreas Hotho</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies, </em><em>page 15:1--15:8. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2011</em>)Wed Jan 04 11:32:55 CET 2012New York, NY, USAProceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies15:1--15:8i-KNOW '11Privacy-aware spam detection in social bookmarking systems20112011 aware classification data-mining detection itegpub myown social spam spam-detection web2.0 web20 With the increased popularity of Web 2.0 services in the last years data privacy has become a major concern for users. The more personal data users reveal, the more difficult it becomes to control its disclosure in the web. However, for Web 2.0 service providers, the data provided by users is a valuable source for offering effective, personalised data mining services. One major application is the detection of spam in social bookmarking systems: in order to prevent a decrease of content quality, providers need to distinguish spammers and exclude them from the system. They thereby experience a conflict of interests: on the one hand, they need to identify spammers based on the information they collect about users, on the other hand, they need to respect privacy concerns and process as few personal data as possible. It would therefore be of tremendous help for system developers and users to know which personal data are needed for spam detection and which can be ignored. In this paper we address these questions by presenting a data privacy aware feature engineering approach. It consists of the design of features for spam classification which are evaluated according to both, performance and privacy conditions. Experiments using data from the social bookmarking system BibSonomy show that both conditions must not exclude each other.Privacy-aware spam detection in social bookmarking systemshttp://www.bibsonomy.org/bibtex/225c89c0f9e4149da87e5212dd12481f0/stummestumme2012-01-04T11:32:27+01:002011 community gi info20 itegpub myown privat <span class="authorEditorList"><a href="/author/Kartal">Aliye Kartal</a>, <a href="/author/Doerfel">Stephan Doerfel</a>, <a href="/author/Roßnagel">Alexander Roßnagel</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Informatik 2011 - Informatik schafft Communities - Proceedings der 41. GI-Jahrestagung, </em><em>volume 192 of Lecture Notes in Informatics, </em><em>page 412. </em><em>Gesellschaft für Informatik e.V. GI, </em><em>Bonner Köllen Verlag, </em>(<em>October 2011</em>)Wed Jan 04 11:32:27 CET 2012Informatik 2011 - Informatik schafft Communities - Proceedings der 41. GI-Jahrestagung 10412Lecture Notes in InformaticsPrivatsphären- und Datenschutz in Community-Plattformen: Gestaltung von Online-Bewertungsportalen19220112011 community gi info20 itegpub myown privat Aufgrund der mittlerweile unüberschaubaren Vielfalt von Anwendungsmöglichkeiten des Web 2.0, findet man fast zu jedem Lebensbereich eine passende Community im Netz. Dabei steigt auch die Anzahl der Bewertungsportale stetig und betrifft längst nicht mehr nur die Bewertung von Waren, sondern erstreckt sich unterdessen auch auf Beurteilungen von Leistungen und Eigenschaften von zu bestimmten Berufsgruppen gehörenden Personen. Diese Entwicklung birgt die Gefahr, dass die dadurch gewonnenen persönlichen Daten durchaus geeignet sind, wahrheitswidrig ein übermäßig positives oder übermäßig negatives Persönlichkeitsbild des Betroffenen zu konstruieren und dadurch sein Ansehen zu beeinflussen. Im Hinblick auf Fragen im Zusammenhang mit dem Persönlichkeits- und Datenschutz soll der folgende Beitrag Maßstäbe an eine verfassungs- und datenschutzkonforme technische Gestaltung von Online-Bewertungsportalen aufzeigen.The print version of the proceedings only contains abstracts. The full paper was published on CD and is available here http://www.user.tu-berlin.de/komm/CD/paper/090222.pdfhttp://www.bibsonomy.org/bibtex/21ceba87cd6bc52faac36247a0c9f52a8/stummestumme2012-01-04T11:31:59+01:002011 COMMUNE conferator itegpub myown rfid sociopatterns <span class="authorEditorList"><a href="/author/Atzmüller">Martin Atzmüller</a>, <a href="/author/Benz">Dominik Benz</a>, <a href="/author/Doerfel">Stephan Doerfel</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, <a href="/author/Macek">Bjoern Elmar Macek</a>, <a href="/author/Mitzlaff">Folke Mitzlaff</a>, <a href="/author/Scholz">Christoph Scholz</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>it - Information Technology</em> <em>53(3):101-107</em> (<em>2011</em>)Wed Jan 04 11:31:59 CET 2012it - Information Technology3101-107Enhancing Social Interactions at Conferences.5320112011 COMMUNE conferator itegpub myown rfid sociopatterns http://www.bibsonomy.org/bibtex/2708be7b5c269bd3a9d3d2334f858d52d/stummestumme2012-01-04T11:31:34+01:002011 collaborative itegpub myown recommender social tagging <span class="authorEditorList"><a href="/author/Balby Marinho">Leandro Balby Marinho</a>, <a href="/author/Nanopoulos">Alexandros Nanopoulos</a>, <a href="/author/Schmidt-Thieme">Lars Schmidt-Thieme</a>, <a href="/author/Jäschke">Robert Jäschke</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Stumme">Gerd Stumme</a>, and <a href="/author/Symeonidis">Panagiotis Symeonidis</a> </span><em>Recommender Systems Handbook, </em><em>Springer, </em><em>New York, </em>(<em>2011</em>)Wed Jan 04 11:31:34 CET 2012New YorkRecommender Systems Handbook615--644Social Tagging Recommender Systems20112011 collaborative itegpub myown recommender social tagging The new generation of Web applications known as (STS) is successfully established and poised for continued growth. STS are open and inherently social; features that have been proven to encourage participation. But while STS bring new opportunities, they revive old problems, such as information overload. Recommender Systems are well known applications for increasing the level of relevant content over the noise that continuously grows as more and more content becomes available online. In STS however, we face new challenges. Users are interested in finding not only content, but also tags and even other users. Moreover, while traditional recommender systems usually operate over 2-way data arrays, STS data is represented as a third-order tensor or a hypergraph with hyperedges denoting (user, resource, tag) triples. In this chapter, we survey the most recent and state-of-the-art work about a whole new generation of recommender systems built to serve STS.We describe (a) novel facets of recommenders for STS, such as user, resource, and tag recommenders, (b) new approaches and algorithms for dealing with the ternary nature of STS data, and (c) recommender systems deployed in real world STS. Moreover, a concise comparison between existing works is presented, through which we identify and point out new research directions.http://www.bibsonomy.org/bibtex/2addbaaba7aec8360e23284c849e216ad/stummestumme2012-01-04T11:31:03+01:002011 conferator itegpub mygroup myown networking rfid social venus <span class="authorEditorList"><a href="/author/Behrenbruch">Kay Behrenbruch</a>, <a href="/author/Atzmueller">Martin Atzmueller</a>, <a href="/author/Kniewel">Romy Kniewel</a>, <a href="/author/Hoberg">Sebastian Hoberg</a>, <a href="/author/Stumme">Gerd Stumme</a>, and <a href="/author/Schmidt">Ludger Schmidt</a> </span><em>GfA-Frühjahrskongress, </em><em>Chemnitz, </em>(<em>2011</em>)Wed Jan 04 11:31:03 CET 2012ChemnitzGfA-FrühjahrskongressGestaltung technisch-sozialer Vernetzung in der Arbeitsorganisation: Untersuchung zur Nutzerakzeptanz von RFID-Technologie20112011 conferator itegpub mygroup myown networking rfid social venus http://www.bibsonomy.org/bibtex/284840e0e94320b5742df381f2ec033b7/stummestumme2012-01-04T11:24:21+01:002011 LWA analysis conferator contacts itegpub myown <span class="authorEditorList"><a href="/author/Atzmueller">Martin Atzmueller</a>, <a href="/author/Doerfel">Stephan Doerfel</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Mitzlaff">Folke Mitzlaff</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation, </em>(<em>2011</em>)Wed Jan 04 11:24:21 CET 2012Working Notes of the LWA 2011 - Learning, Knowledge, AdaptationFace-to-Face Contacts during LWA 2010 - Communities, Roles, and Key Players20112011 LWA analysis conferator contacts itegpub myown http://www.bibsonomy.org/bibtex/21fe037ea2712b205c564243d67840059/stummestumme2012-01-04T11:23:25+01:002011 analysis communities community conferator discovery itegpub knowledge myown rfid <span class="authorEditorList"><a href="/author/Atzmueller">Martin Atzmueller</a>, <a href="/author/Doerfel">Stephan Doerfel</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Mitzlaff">Folke Mitzlaff</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Proc. Workshop on Mining Ubiquitous and Social Environments MUSE 2011 at ECML/PKDD 2011, </em>(<em>2011</em>)Wed Jan 04 11:23:25 CET 2012Proc. Workshop on Mining Ubiquitous and Social Environments (MUSE 2011) at ECML/PKDD 2011Face-to-Face Contacts during a Conference: Communities, Roles, and Key Players20112011 analysis communities community conferator discovery itegpub knowledge myown rfid http://www.bibsonomy.org/bibtex/256b6a20c253a6f23dc2005d3820e793a/stummestumme2012-01-04T11:21:23+01:002011 aware conferator itegpub localization myown rfid <span class="authorEditorList"><a href="/author/Scholz">Christoph Scholz</a>, <a href="/author/Doerfel">Stephan Doerfel</a>, <a href="/author/Atzmueller">Martin Atzmueller</a>, <a href="/author/Hotho">Andreas Hotho</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation, </em>(<em>2011</em>)Wed Jan 04 11:21:23 CET 2012Working Notes of the LWA 2011 - Learning, Knowledge, AdaptationResource-Aware On-Line RFID Localization Using Proximity Data20112011 aware conferator itegpub localization myown rfid http://www.bibsonomy.org/bibtex/21dc34c1620c45a9bbd548bb73f989aea/stummestumme2012-01-04T11:20:30+01:002011 conferator conference conferences interactions itegpub journal myown <span class="authorEditorList"><a href="/author/Atzmueller">Martin Atzmueller</a>, <a href="/author/Benz">Dominik Benz</a>, <a href="/author/Doerfel">Stephan Doerfel</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, <a href="/author/Macek">Bjoern Elmar Macek</a>, <a href="/author/Mitzlaff">Folke Mitzlaff</a>, <a href="/author/Scholz">Christoph Scholz</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>it - Information Technology</em> <em>53(3):101--107</em> (<em>May 2011</em>)Wed Jan 04 11:20:30 CET 2012it - Information Technologyit - Information Technologymay3101--107Enhancing Social Interactions at Conferences5320112011 conferator conference conferences interactions itegpub journal myown http://www.bibsonomy.org/bibtex/28ad9a4592710e41d9d7fb9eba0cee79c/stummestumme2012-01-04T11:19:46+01:002011 CVS Contact Development Mining PageRank Proximity contact development itegpub mining pagerank <span class="authorEditorList"><a href="/author/Björn-Elmar Macek, Martin Atzmueller, Gerd Stumme"> Björn-Elmar Macek, Martin Atzmueller, Gerd Stumme</a> </span><em> Proc. IEEE SocialCom, </em><em>Boston, MA, USA, </em><em>IEEE Computer Society, </em>(<em>2011</em>)Wed Jan 04 11:19:46 CET 2012Boston, MA, USAProfile Mining in CVS-Logs and Face-to-Face Contacts for Recommending Software DevelopersProc. IEEE SocialCom20112011 CVS Contact Development Mining PageRank Proximity contact development itegpub mining pagerank http://www.bibsonomy.org/bibtex/2090cb9e2dfbe696eae8ac0100ada5c6c/stummestumme2011-12-09T11:13:19+01:00Venus collective intelligence intelligenz kollektive <span class="authorEditorList"><a href="/author/Bastiaens">Theo J. Bastiaens</a>, <a href="/author/Baumöl">Ulrike. Baumöl</a>, and <a href="/author/Krämer">Bernd J. Krämer</a> (Eds.). </span>(<em>2010</em>)Fri Dec 09 11:13:19 CET 2011BerlinOn collective intelligence2010Venus collective intelligence intelligenz kollektive "Collective intelligence denotes a phenomenon according to which the purposeful interaction between individuals creates intelligent solutions and behaviors that might not have come to existence without this concerted effort of a community. The members of such communities form a social network, typically over the Internet. They are engaged with each other over a sustained period of time to develop an area of innovation through collaboration and exchange of ideas, experiences and information. Leading-edge information and communication technologies (ICT) offer ample opportunities for enabling collective intelligence. COLLIN aims to become the flagship conference in the areas collective intelligence and ICT-enabled social networking, which is attracting more and more researchers and practitioners from both academia and industry"--Preface.On Collective Intelligencehttp://www.bibsonomy.org/bibtex/2f9d6e06ab0f2fdcebb77afa97d72e40a/stummestumme2011-11-25T12:41:06+01:002011 content folksonomy itegpub l3s myown recommendations recommender tag tagorapub <span class="authorEditorList"><a href="/author/Illig">Jens Illig</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Knowledge Processing and Data Analysis, </em><em>volume 6581 of Lecture Notes in Computer Science, </em><em>page 136--149. </em><em>Berlin/Heidelberg, </em><em>Springer, </em>(<em>2011</em>)Fri Nov 25 12:41:06 CET 2011Berlin/HeidelbergKnowledge Processing and Data Analysis136--149Lecture Notes in Computer ScienceA Comparison of Content-Based Tag Recommendations in Folksonomy Systems658120112011 content folksonomy itegpub l3s myown recommendations recommender tag tagorapub Recommendation algorithms and multi-class classifiers can support users of social bookmarking systems in assigning tags to their bookmarks. Content based recommenders are the usual approach for facing the cold start problem, i.e., when a bookmark is uploaded for the first time and no information from other users can be exploited. In this paper, we evaluate several recommendation algorithms in a cold-start scenario on a large real-world dataset. http://www.bibsonomy.org/bibtex/2913059fcbf0453c60ff8b79e2705742c/stummestumme2011-05-16T14:23:28+02:00anonymizing anonymous de-anonymizing networks sna social <span class="authorEditorList"><a href="/author/Backstrom">Lars Backstrom</a>, <a href="/author/Dwork">Cynthia Dwork</a>, and <a href="/author/Kleinberg">Jon Kleinberg</a> </span><em>Proceedings of the 16th international conference on World Wide Web, </em><em>page 181--190. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2007</em>)Mon May 16 14:23:28 CEST 2011New York, NY, USAProceedings of the 16th international conference on World Wide Web181--190WWW '07Wherefore art thou r3579x?: anonymized social networks, hidden patterns, and structural steganography2007anonymizing anonymous de-anonymizing networks sna social In a social network, nodes correspond topeople or other social entities, and edges correspond to social links between them. In an effort to preserve privacy, the practice of anonymization replaces names with meaningless unique identifiers. We describe a family of attacks such that even from a single anonymized copy of a social network, it is possible for an adversary to learn whether edges exist or not between specific targeted pairs of nodes.Wherefore art thou r3579x?