http://www.bibsonomy.org/burst/user/lysander07/socialNetworksBibSonomy BuRST Feed for /user/lysander07/socialNetworks2008-09-07T20:05:14+02:00Publications of Harald Sackhttp://www.bibsonomy.org/bibtex/2499e594be8b7b2922ac4d76565a065bb/lysander07lysander072007-11-29T14:51:59+01:00mypaper blog society socialNetworks <span style="color:#555555;">J. <a href="http://www.bibsonomy.org/author/Bross">Bross</a> und H. <a href="http://www.bibsonomy.org/author/Sack">Sack</a> </span><em>in Proc. of IADIS Int. Conf. e-Society 2007, </em>(<em>2007</em>)Thu Nov 29 14:51:59 CET 2007in Proc. of IADIS Int. Conf. e-Society 2007Encouraging Participation in Virtual Communities: The"IT-summit-blog"Case2007mypaper blog society socialNetworks The first national IT-summit in Germany had the goal to communicate the common conviction and objective target of the German government as well as economic and scientific organizations, that Germany is on its way to become the ICT-market number one worldwide. Critiques however soon started to complain about the inaccurate representation of SME’s and the German public in general in the planning phase, the event itself, and the follow up process of the ITsummit. Migrating the existing offline community of the summit into a virtual online counterpart – the “IT-summit-blog” weblog – is an approach to improve the efficiency and ability to support the sharing of information and knowledge in a very timely fashion about summit topics even among all those that could not participate in the discussion yet. The collective and extended knowledge generated out of this “think tank” will be used by reintegrating and using it in the follow-up-process as regards content of the summit. The case at hand identifies the success factors needed to develop such a virtual communication platform. The discussion is underplayed with a theoretical debate about the conceptual foundations concerning virtual communities in general, and weblogs specifically. This discussion shows that no virtual community is like another. Modern communication platforms need to be tailored towards the specific need they were built for. This counts especially for weblogs as the sort of platform chosen for the project at hand, as well as for the specific reason the platform was developed for – namely the discussion of IT-summit-topics. The need for control and moderation of user generated contributions conflicts with the grass roots democracy concept of weblogs in general. Thus, the goal of this paper is to find the appropriate standards, key issues, and requirements of a platform as envisioned by the summit participants in order to form a coherent basis for development of the “IT-summit-blog”.http://www.bibsonomy.org/bibtex/2bc1ab4d450673d892a7b7edbbae635bf/lysander07lysander072007-11-23T13:41:43+01:00socialNetworks semanticWeb <span style="color:#555555;">Gijs <a href="http://www.bibsonomy.org/author/Geleijnse">Geleijnse</a> und Jan <a href="http://www.bibsonomy.org/author/Korst">Korst</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea, </em><em>Volume4825vonLNCS, </em><em>Seite155--168. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em><em>November2007. </em>Fri Nov 23 13:41:43 CET 2007Berlin, HeidelbergProceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Koreahttp://data.semanticweb.org/conference/iswc-aswc/2007/proceedingsNovember155--168LNCSCreating a Dead Poets Society: Extracting a Social Network of Historical Persons from the Web48252007socialNetworks semanticWeb We present a simple method to extract information from search engine snippets. Although the techniques presented are domain independent, this work focuses on extracting biographical information of historical persons from multiple unstructured sources on the Web. We first similarly find a list of persons and their periods of life by querying the periods and scanning the retrieved snippets for person names. Subsequently, we find biographical informationfor the persons extracted. In order to get insight in the mutual relations among the persons identified, we create a social network using co-occurrences on the Web. Although we use uncontrolled and unstructured Web sources, the information extracted is reliable. Moreover we show that Web Information Extraction can be used to create both informative and enjoyable applications.http://www.bibsonomy.org/bibtex/2f2bdd4e70496fd9030a12f6c11062108/lysander07lysander072007-10-02T10:51:05+02:00wiki web2.0 socialNetworks <span style="color:#555555;">Bo <a href="http://www.bibsonomy.org/author/Leuf">Leuf</a> und Ward <a href="http://www.bibsonomy.org/author/Cunningham">Cunningham</a> </span><em>Addison-Wesley, </em><em>Boston, </em>(<em>2001</em>)Tue Oct 02 10:51:05 CEST 2007BostonThe Wiki Way. Quick Collaboration on the Web2001wiki web2.0 socialNetworks http://www.bibsonomy.org/bibtex/22f6c5c44c32661e3b904cd2ead7ca8b3/lysander07lysander072007-08-09T13:46:28+02:00socialNetworks web2.0 trust <span style="color:#555555;">Peter <a href="http://www.bibsonomy.org/author/Briggs">Briggs</a> und Barry <a href="http://www.bibsonomy.org/author/Smyth">Smyth</a> </span><em>ECIR, </em><em>Volume4425vonLecture Notes in Computer Science, </em><em>Seite525-532. </em><em>Springer, </em>(<em>2007</em>)Thu Aug 09 13:46:28 CEST 2007ECIRconf/ecir/2007525-532Lecture Notes in Computer ScienceHarnessing Trust in Social Search.44252007socialNetworks web2.0 trust Bibliography on cognitive and linguistic networkshttp://www.bibsonomy.org/bibtex/2be8f323d6ff541a4f6355f8dce8b5790/lysander07lysander072007-03-09T12:17:53+01:00wiki socialNetworks linguistics <span style="color:#555555;">A. <a href="http://www.bibsonomy.org/author/Mehler">Mehler</a> </span>(<em>2006</em>)Fri Mar 09 12:17:53 CET 2007Proceedings of the EACL 2006 Workshop on New Text-Wikis and blogs and other dynamic text sources1-8Text Linkage in the Wiki Medium-A comparative study2006wiki socialNetworks linguistics http://www.bibsonomy.org/bibtex/20cc701059bf83b7b88f19f0fbbc758df/lysander07lysander072007-03-04T18:57:01+01:00socialNetworks semanticWeb web2.0 <span style="color:#555555;">P. <a href="http://www.bibsonomy.org/author/Mika">Mika</a> </span><em>IEEE Intelligent Systems</em><em>January/February2005. </em>Sun Mar 04 18:57:01 CET 2007IEEE Intelligent SystemsJanuary/February1{Social Networks and the Semantic Web: The Next Challenge}202005socialNetworks semanticWeb web2.0 http://www.bibsonomy.org/bibtex/2b78f7a737aa99ffad5d1862f8ef478ae/lysander07lysander072007-02-23T13:15:32+01:00socialNetworks folksonomy society web2.0 <span style="color:#555555;">J. <a href="http://www.bibsonomy.org/author/Surowiecki">Surowiecki</a> </span><em>Doubleday, </em>(<em>2004</em>)Fri Feb 23 13:15:32 CET 2007The wisdom of crowds2004socialNetworks folksonomy society web2.0 http://www.bibsonomy.org/bibtex/2b29533b4149c229ad1498ca92c49fb73/lysander07lysander072007-01-28T17:19:21+01:00knowledgeEngineering socialNetworks semanticWeb semanticwiki <span style="color:#555555;">Yael <a href="http://www.bibsonomy.org/author/Kali">Kali</a> </span><em>ijcscl</em><em>1(2):187&#8211;201</em>(<em>2006</em>)Sun Jan 28 17:19:21 CET 2007ijcscl2187–201Collaborative knowledge building using a design principles database12006knowledgeEngineering socialNetworks semanticWeb semanticwiki http://www.bibsonomy.org/bibtex/23c301945817681d637ee43901c016939/lysander07lysander072007-01-28T17:19:21+01:00folksonomy ontologies semanticWeb socialNetworks <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>The Semantic Web: Research and Applications, </em><em>Volume4011vonLecture Notes in Computer Science, </em><em>Seite411-426. </em><em>Heidelberg, </em><em>Springer, </em><em>June2006. </em>Sun Jan 28 17:19:21 CET 2007HeidelbergThe Semantic Web: Research and ApplicationsJune411-426Lecture Notes in Computer ScienceInformation Retrieval in Folksonomies: Search and Ranking40112006folksonomy ontologies semanticWeb socialNetworks Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. At the moment, however, the information retrieval support is limited. We present a formal model and a new search algorithm for folksonomies, called FolkRank, that exploits the structure of the folksonomy. The proposed algorithm is also applied to find communities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset.http://www.bibsonomy.org/bibtex/2f4990e0df28dc21508a2025025d09018/lysander07lysander072007-01-27T22:26:03+01:00web2.0 folksonomy socialNetworks <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Workshop Grundlagen von Datenbanken, Wittenberg, Germany, 06-09.06.06, </em>(<em>2006</em>)Sat Jan 27 22:26:03 CET 2007Workshop Grundlagen von Datenbanken, Wittenberg, Germany, 06-09.06.06Wege zur Entdeckung von Communities in Folksonomies2006web2.0 folksonomy socialNetworks Ein wichtiger Baustein des neu entdeckten World Wide Web -- des "Web 2.0" -- stellen Folksonomies dar. In diesen Systemen können Benutzer gemeinsam Ressourcen verwalten und mit Schlagwörtern versehen. Die dadurch entstehenden begrifflichen Strukturen stellen ein interessantes Forschungsfeld dar. Dieser Artikel untersucht Ansätze und Wege zur Entdeckung und Strukturierung von Nutzergruppen ("Communities") in Folksonomies. ScienceDirect - Web Semantics: Science, Services and Agents on the World Wide Web : Semantic Web technology for the extraction and analysis of social networkshttp://www.bibsonomy.org/bibtex/2e15903b8d4ab970e16bc65f9bcbca0e4/lysander07lysander072007-01-10T15:52:53+01:00socialNetworks semanticWeb foaf <span style="color:#555555;">Peter <a href="http://www.bibsonomy.org/author/Mika">Mika</a> </span><em>Web Semantics: Science, Services and Agents on the World Wide Web</em><em>3(2-3):211-223</em><em>#oct#2005. </em>Wed Jan 10 15:52:53 CET 2007Selcted Papers from the International Semantic Web Conference, 2004 - ISWC, 2004Web Semantics: Science, Services and Agents on the World Wide Web#oct#2-3211-223Flink: Semantic Web technology for the extraction and analysis of social networks32005socialNetworks semanticWeb foaf We present the Flink system for the extraction, aggregation and visualization of online social networks. Flink employs semantic technology for reasoning with personal information extracted from a number of electronic information sources including web pages, emails, publication archives and FOAF profiles. The acquired knowledge is used for the purposes of social network analysis and for generating a web-based presentation of the community. We demonstrate our novel method to social science based on electronic data using the example of the Semantic Web research community.references of talks, papers, seminarshttp://www.bibsonomy.org/bibtex/2ff3838b29b4d15654173fc724dcd383a/lysander07lysander072006-12-20T10:24:04+01:00socialNetworks ontologyLearning informationRetrieval <span style="color:#555555;">Jason J. <a href="http://www.bibsonomy.org/author/Jung">Jung</a> und Young-Hoon <a href="http://www.bibsonomy.org/author/Yu">Yu</a> und GeunSik <a href="http://www.bibsonomy.org/author/Jo">Jo</a> </span><em>International Conference on Computational Science, </em><em>Seite513-520. </em>(<em>2004</em>) <em>bibsource: DBLP, http://dblp.uni-trier.de . </em>Wed Dec 20 10:24:04 CET 2006International Conference on Computational Sciencebibsource: DBLP, http://dblp.uni-trier.de513-520Collaborative Web Browsing Based on Ontology Learning from Bookmarks.2004socialNetworks ontologyLearning informationRetrieval This paper proposes the collaborative web browsing system sharing knowledge with other users. We have specifically focused on user interests extracted from bookmarks. A simple URL based-bookmark is provided with structural information by the conceptualization of the ontology. Furthermore, ontology learning based on a hierarchical clustering method can be applied to handle dynamic changes in bookmarks. As a result of our experiments, with respect to recall, about 53.1% of the total time was saved during collaborative browsing for seeking the equivalent set of information, as compared with single web browsing.http://www.bibsonomy.org/bibtex/2263eb5b191671c0c2e665fbfa5dc2f25/lysander07lysander072006-12-16T11:51:25+01:00datamining socialNetworks web2.0 <span style="color:#555555;">Tanya Y. <a href="http://www.bibsonomy.org/author/Berger-Wolf">Berger-Wolf</a> und Jared <a href="http://www.bibsonomy.org/author/Saia">Saia</a> </span>(<em>2005</em>)Sat Dec 16 11:51:25 CET 2006A Framework for Analysis of Dynamic Social Networks2005datamining socialNetworks web2.0 http://www.bibsonomy.org/bibtex/2bb07b784167d8ab892a7cb8f5ff6f5b8/lysander07lysander072006-12-16T11:50:51+01:00datamining web2.0 socialNetworks <span style="color:#555555;">David <a href="http://www.bibsonomy.org/author/Krackhardt">Krackhardt</a> </span><em>chapter 5, </em><em>Seite89--111. </em><em>Lawrence Erlbaum Associates, Inc., </em><em>Hillsdale, NJ, </em>(<em>1994</em>)Sat Dec 16 11:50:51 CET 2006Hillsdale, NJComputational Organizational Theory589--111Graph Theoretical Dimensions of Informal Organizations1994datamining web2.0 socialNetworks Link mining applicationshttp://www.bibsonomy.org/bibtex/23e38939129fe28717b706ef8fff4be20/lysander07lysander072006-12-16T11:49:03+01:00survey socialNetworks datamining web2.0 <span style="color:#555555;">Ted E. <a href="http://www.bibsonomy.org/author/Senator">Senator</a> </span><em>SIGKDD Explor. Newsl.</em><em>7(2):76--83</em>(<em>2005</em>)Sat Dec 16 11:49:03 CET 2006New York, NY, USASIGKDD Explor. Newsl.276--83Link mining applications: progress and challenges72005survey socialNetworks datamining web2.0 http://www.bibsonomy.org/bibtex/2fdd6a5446043dd8fc0fa8653f0ae39d0/lysander07lysander072006-12-02T13:18:42+01:00ontologies semanticWeb socialNetworks <span style="color:#555555;">Bettina <a href="http://www.bibsonomy.org/author/Hoser">Hoser</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proceedings of the 3rd European Semantic Web Conference, </em><em>Seite514-529. </em><em>Budva, Montenegro, </em><em>June2006. </em>Sat Dec 02 13:18:42 CET 2006Budva, MontenegroProceedings of the 3rd European Semantic Web ConferenceJune514-529Semantic Network Analysis of Ontologies2006ontologies semanticWeb socialNetworks http://www.bibsonomy.org/bibtex/243b9d47930b99171c0443bc7f4b168af/lysander07lysander072006-11-24T17:32:59+01:00SAAW2006 tagging semanticWeb socialNetworks <span style="color:#555555;">Hana <a href="http://www.bibsonomy.org/author/Shepard">Shepard</a> und Harry <a href="http://www.bibsonomy.org/author/Halpin">Halpin</a> und Valentin <a href="http://www.bibsonomy.org/author/Robu">Robu</a> </span><em>Proc. of the 1st Semantic Authoring and Annotation Workshop (SAAW2006), </em>(<em>2006</em>)Fri Nov 24 17:32:59 CET 2006Proc. of the 1st Semantic Authoring and Annotation Workshop (SAAW2006)The Dynamics and Semantics of Collaborative Tagging2006SAAW2006 tagging semanticWeb socialNetworks The debate within the Web community over the optimal means by which to organize information often pits formalized classifications against distributed collaborative tagging systems. A number of questions remain unanswered, however, regarding the nature of collaborative tagging systems including the dynamics of such systems and whether coherent classification schemes can emerge from undirected tagging by users. Currently millions of users are using collaborative tagging without centrally organizing principles, and many suspect this exhibits features considered to be indicative of a complex system. If this is the case, it remains to be seem whether collaborative tagging by users over time leads to emergent classi- fication schemes that could be formalized into an ontology usable by the Semantic Web. This paper uses data from “popular” tagged sites on the social bookmarking site del.icio.us to examine the dynamics of such collaborative tagging systems. In particular, we are trying to determine whether the distribution of tag frequencies stabilizes, which indicates a degree of cohesion or consensus among users about the optimal tags to describe particular sites. We use tag co-occurrence networks for a sample domain of tags to analyze the meaning of particular tags given their relationship to other tags and automatically create an ontology. We also produce a generative model of collaborative tagging in order to model and understand some of the basic dynamics behind the process.http://www.bibsonomy.org/bibtex/28634d935e0bf4d74a870d5c805612665/lysander07lysander072006-11-23T16:52:46+01:00socialNetworks web2.0 <span style="color:#555555;">Filippo <a href="http://www.bibsonomy.org/author/Radicchi">Radicchi</a> und Claudio <a href="http://www.bibsonomy.org/author/Castellano">Castellano</a> und Federico <a href="http://www.bibsonomy.org/author/Cecconi">Cecconi</a> und Vittorio <a href="http://www.bibsonomy.org/author/Loreto">Loreto</a> und Domenico <a href="http://www.bibsonomy.org/author/Parisi">Parisi</a> </span><em>Feb2004. </em>Thu Nov 23 16:52:46 CET 2006FebDefining and identifying communities in networks2004socialNetworks web2.0 The investigation of community structures in networks is an important issue in many domains and disciplines. This problem is relevant for social tasks (objective analysis of relationships on the web), biological inquiries (functional studies in metabolic, cellular or protein networks) or technological problems (optimization of large infrastructures). Several types of algorithm exist for revealing the community structure in networks, but a general and quantitative definition of community is still lacking, leading to an intrinsic difficulty in the interpretation of the results of the algorithms without any additional non-topological information. In this paper we face this problem by introducing two quantitative definitions of community and by showing how they are implemented in practice in the existing algorithms. In this way the algorithms for the identification of the community structure become fully self-contained. Furthermore, we propose a new local algorithm to detect communities which outperforms the existing algorithms with respect to the computational cost, keeping the same level of reliability. The new algorithm is tested on artificial and real-world graphs. In particular we show the application of the new algorithm to a network of scientific collaborations, which, for its size, can not be attacked with the usual methods. This new class of local algorithms could open the way to applications to large-scale technological and biological applications.http://www.bibsonomy.org/bibtex/2a6faae355d867b5f998ed30e79eec3cf/lysander07lysander072006-11-17T12:01:35+01:00tagging socialNetworks collaborative <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proceedings of the Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures, </em>(<em>2006</em>) <em>to appear . </em>Fri Nov 17 12:01:35 CET 2006Proceedings of the Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structuresto appear{BibSonomy}: A Social Bookmark and Publication Sharing System2006tagging socialNetworks collaborative http://www.bibsonomy.org/bibtex/2a0166b40a2560895be8ace9588e33876/lysander07lysander072006-11-07T20:50:20+01:00recommendation socialNetworks trust tagging web2.0 <span style="color:#555555;">Jennifer <a href="http://www.bibsonomy.org/author/Golbeck">Golbeck</a> </span><em>n Proceedings of the fourth international conference on trust management, </em>(<em>2006</em>)Tue Nov 07 20:50:20 CET 2006n Proceedings of the fourth international conference on trust managementGenerating predictive movie recommendations from trust in social networks2006recommendation socialNetworks trust tagging web2.0 Social networks are growing in number and size, with hundreds of millions of user accounts among them. One added benefit of these networks is that they allow users to encode more information about their relationships than just stating who they know. In this work, we are particularly interested in trust relationships, and how they can be used in designing interfaces. In this paper, we present FilmTrust, a website that uses trust in webbased social networks to create predictive movie recommendations. Using the FilmTrust system as a foundation, we show that these recommendations are more accurate than other techniques when the user's opinions about a film are divergent from the average. We discuss this technique both as an application of social network analysis, as well as how it suggests other analyses that can be performed to help improve collaborative filtering algorithms of all types.