http://www.bibsonomy.org/burst/user/bluedolphin/socialBibSonomy BuRST Feed for /user/bluedolphin/social2008-07-21T00:43:08+02:00http://www.bibsonomy.org/bibtex/2b82fc24e55d3f592560ce45461f3d77f/bluedolphinbluedolphin2007-10-25T13:08:56+02:00motivation reputation social wikipedia <span style="color:#555555;">Bernhard <a href="http://www.bibsonomy.org/author/Hoisl">Hoisl</a> and Wolfgang <a href="http://www.bibsonomy.org/author/Aigner">Aigner</a> and Silvia <a href="http://www.bibsonomy.org/author/Miksch">Miksch</a> </span><em>Wikis im Social Web Wikiposium 2005 / 06, </em><em>page60-72. </em><em>OCG Austrian Computer Society, </em>(<em>2007</em>)Thu Oct 25 13:08:56 CEST 2007Wikis im Social Web Wikiposium 2005 / 0660-72Soziale Belohnung in Wiki Systemen2007motivation reputation social wikipedia Online-Communities haben eines gemeinsam: Ihr Erfolg steht und fällt mit der Teilnahmerate ihrer Benutzer. Für viele Online-Communities ist der Nutzermangel ein fundamentales Problem. In diesem Artikel wird auf bestimmte Methoden der sozialen Belohnung eingegangen, welche darauf abzielen, Benutzer zu motivieren, in einem Wiki aktiv teilzunehmen. In einer Online-Community basiert soziales Belohnen in den meisten Fällen auf das Hervorheben besonders aktiver Mitglieder. Geld kann dabei nicht als Motivator eingesetzt werden, sondern andere Faktoren wie Status, Macht, Ehre und Ruhm. Es werden verschiedene Methoden der sozialen Belohnung vorgestellt, die die Befriedigung dieser Bedürfnisse als Ziel haben und somit Vorteile für alle Benutzer eines Wikis bringen sollen. Weiters ist eine Anzahl von Methoden sozialer Belohnung in die Wiki Software MediaWiki implementiert worden. Unter anderem sind dabei die Kriterien sozialen Belohnens in der Darstellung einer Rangliste von besonders aktiven Autoren erfüllt. Es wird dabei auf den der Berechnung zugrunde liegenden Algorithmus und den Implementierungsprozess der Entwicklung eingegangen.http://www.bibsonomy.org/bibtex/2f2d997f71e7628b9f1376ea9b9025bb3/bluedolphinbluedolphin2007-04-26T18:02:43+02:00relationships social_network SNA social <span style="color:#555555;">Heidi <a href="http://www.bibsonomy.org/author/Armbruster">Armbruster</a> </span><em>Universit&#228;t Genf, </em>(<em>2005</em>)Thu Apr 26 18:02:43 CEST 2007Sozialstrukturen in Innovationsteams: Analyse sozialer Netzwerke2005relationships social_network SNA social Soziale Netzwerke in Organisationen gelten seit einiger Zeit in der Organisationsforschung als neues und viel versprechendes Thema. Denn soziale Beziehungen gewährleisten den für den Innovationserfolg entscheidenden Austausch von Ressourcen wie Informationen und Wissen und den Zugang zu ihnen. Dennoch gibt es bisher nur wenige Studien, die die Auswirkungen sozialer Netzwerke auf den organisationalen Erfolg zum Gegenstand haben. Heidi Armbruster untersucht die Auswirkungen sowohl interner als auch externer sozialer Netzwerke auf den Erfolg von Innovationsteams und inwiefern diese Netzwerke durch Variablen der Teamzusammensetzung beeinflusst werden können. Die Analyse von 28 Teams aus Unternehmen der pharmazeutisch-chemischen Industrie zeigt, dass interne ebenso wie externe Wissens- und Vertrauensnetzwerke von großer Bedeutung für den Erfolg von Innovationsteams sind und dass die Zusammensetzung der Teams die Strukturen der Wissens- und Vertrauensnetzwerke prägt.http://www.bibsonomy.org/bibtex/2c15afac90ab2e2a2eb4467e0f4f9feb0/bluedolphinbluedolphin2007-04-26T16:20:20+02:00community_of_practice collaborative communities social learning relationships <span style="color:#555555;">Chih-Hsiung <a href="http://www.bibsonomy.org/author/Tu">Tu</a> </span><em>Libraries Unlimited, </em>(<em>2004</em>)Thu Apr 26 16:20:20 CEST 2007Online Collaborative Learning Communities: Twenty-One Designs to Building an Online Collaborative Learning Community2004community_of_practice collaborative communities social learning relationships The Social Life of Informationhttp://www.bibsonomy.org/bibtex/2487609d049a4725559d029bbd67228b9/bluedolphinbluedolphin2007-04-25T16:27:37+02:00knowledge_management information social <span style="color:#555555;">John S. <a href="http://www.bibsonomy.org/author/Brown">Brown</a> and Paul <a href="http://www.bibsonomy.org/author/Duguid">Duguid</a> </span><em>Harvard Business School Press, </em><em>February2002. </em>Wed Apr 25 16:27:37 CEST 2007PaperbackFebruaryThe Social Life of Information2002knowledge_management information social The quality of online social relationshipshttp://www.bibsonomy.org/bibtex/27a868b256c4e6802e35329f08aa0fe2a/bluedolphinbluedolphin2007-04-19T16:39:28+02:00relationships social article online <span style="color:#555555;">Jonathon N. <a href="http://www.bibsonomy.org/author/Cummings">Cummings</a> and Brian <a href="http://www.bibsonomy.org/author/Butler">Butler</a> and Robert <a href="http://www.bibsonomy.org/author/Kraut">Kraut</a> </span><em>Communications of the ACM</em><em>45(7):103--108</em>(<em>2002</em>)Thu Apr 19 16:39:28 CEST 2007New York, NY, USACommunications of the ACM7103--108The Quality of Online Social Relationships452002relationships social article online ONLINE RELATIONSHIPS ARE LESS VALUABLE THAN OFFLINE ONES. INDEED, THEIR NET BENEFIT DEPENDS ON WHETHER THEY SUPPLEMENT OR SUBSTITUTE FOR OFFLINE SOCIAL RELATIONSHIPS.http://www.bibsonomy.org/bibtex/2b17b101bffd83e16a51deaa429fbbcd6/bluedolphinbluedolphin2007-02-14T11:39:41+01:00collaboration communities social <span style="color:#555555;">Wolfgang <a href="http://www.bibsonomy.org/author/Gr\&#034;{a}ther">Gr&#228;ther</a> and Wolfgang <a href="http://www.bibsonomy.org/author/Prinz">Prinz</a> </span><em>GROUP '01: Proceedings of the 2001 International ACM SIGGROUP Conference on Supporting Group Work, </em><em>page252-259. </em><em>New York, NY, USA, </em><em>ACM Press, </em>(<em>2001</em>)Wed Feb 14 11:39:41 CET 2007New York, NY, USAGROUP '01: Proceedings of the 2001 International ACM SIGGROUP Conference on Supporting Group Work252-259The social web cockpit: support for virtual communities2001collaboration communities social http://www.bibsonomy.org/bibtex/2a6010ad0fef7cb1442298402ebb979b6/bluedolphinbluedolphin2006-10-12T13:28:31+02:00tagging taxonomy folksonomy tech_report analysis social <span style="color:#555555;">Paul <a href="http://www.bibsonomy.org/author/Heymann">Heymann</a> and Hector <a href="http://www.bibsonomy.org/author/Garcia-Molina">Garcia-Molina</a> </span><em>Computer Science Department, </em><em>April2006. </em>Thu Oct 12 13:28:31 CEST 2006AprilCollaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems2006tagging taxonomy folksonomy tech_report analysis social Collaborative tagging systems---systems where many casual users annotate objects with free-form strings (tags) of their choosing---have recently emerged as a powerful way to label and organize large collections of data. During our recent investigation into these types of systems, we discovered a simple but remarkably effective algorithm for converting a large corpus of tags annotating objects in a tagging system into a navigable hierarchical taxonomy of tags. We first discuss the algorithm and then present a preliminary model to explain why it is so effective in these types of systems.http://www.bibsonomy.org/bibtex/2b3853c11f464f13734a2e381414ca1fc/bluedolphinbluedolphin2006-10-05T14:45:40+02:00dissertation relationships communication social <span style="color:#555555;">Michael <a href="http://www.bibsonomy.org/author/Galla">Galla</a> </span><em>Technische Universit&#228;t M&#252;nchen, </em>(<em>2004</em>)Thu Oct 05 14:45:40 CEST 2006Social Relationship Management in Internet-based Communication and Shared Information Spaces2004dissertation relationships communication social Communication and collaboration based on the internet are important factors in business, research, and everyday life. The term virtualization denotes the phenomenon that more and more aspects of our lives take place online. In today’s markets, companies have to be quick and flexible in order to be successful. One of the strategies to achieve this is the virtualization of organizations, leading to the abolishment of classical spatial and temporal constraints and to a greater flexibility. The dynamic collaboration of small, modular organizational units is the key idea of this strategy. The partnering problem becomes the pivotal point in such organization networks, raising the question of how to assess the trustworthiness of personally unknown potential partners. Similarly, in online auction houses, customers often do not know whether to trust vendors with respect to the quality of the goods offered. Traditionally, such problems are solved by exploring the personal social network and looking for trusted persons who know the person or organization in question. Yet, due to the increasing variety of communication media, it is difficult to keep aware of all people in one’s personal social network. Therefore it is necessary to support the management of social relationships. The goal of this thesis is the development of a general framework for social relationship management. Starting from observations concerning the aforementioned virtualization tendencies, this work examines internet-based communication and shared information spaces with respect to the kinds of social network data that can be extracted from them. Existing approaches to social relationship management are discussed. Such systems, however, concentrate on only one or very few kinds of social relationships and thus only manage special aspects of a user’s social network. Therefore, a general representation of social relationships is needed which allows for the combination of various kinds of relationships and sources of social network data. On the basis of this analysis and the characterization of social relationships in terms of sociology, this work introduces a formal model of social relationships based on semantic web technologies. The main design goals of this formalization are fostering interoperability, independence from proprietary applications, extensibility, and integration of privacy protection. Building upon the formalization of social relationships, a multiagent system for distributed relationship management is developed. Agents act on behalf of one or several persons and exchange relationship information in order to answer queries initiated by their users or by applications. Three query types can be distinguished: ² Exploring the social network up to a certain depth ² Checking if a relationship chain with certain characteristics from one person to another exists ² Retrieving relationship chains with certain characteristics from one user to another With the help of these three query types both the problem of how to get a trusted estimation of another person’s reputation and the problem of how to keep aware of all people in one’s personal social network can be solved. The concepts developed in this work have been prototypically implemented and represent a comprehensive solution of the aforementioned problems of social relationship management in internetbased communication and shared information spaces.http://www.bibsonomy.org/bibtex/22ff38a7f8e9e3941d0598877fe964eb5/bluedolphinbluedolphin2006-09-19T20:03:04+02:00semantic_web annotation analysis social tagging <span style="color:#555555;">Xian <a href="http://www.bibsonomy.org/author/Wu">Wu</a> and Lei <a href="http://www.bibsonomy.org/author/Zhang">Zhang</a> and Yong <a href="http://www.bibsonomy.org/author/Yu">Yu</a> </span><em>WWW '06: Proceedings of the 15th international conference on World Wide Web, </em><em>page417--426. </em><em>New York, NY, USA, </em><em>ACM Press, </em>(<em>2006</em>)Tue Sep 19 20:03:04 CEST 2006New York, NY, USAWWW '06: Proceedings of the 15th international conference on World Wide Web417--426Exploring social annotations for the semantic web2006semantic_web annotation analysis social tagging In order to obtain a machine understandable semantics for web resources, research on the Semantic Web tries to annotate web resources with concepts and relations from explicitly defined formal ontologies. This kind of formal annotation is usually done manually or semi-automatically. In this paper, we explore a complement approach that focuses on the "social annotations of the web" which are annotations manually made by normal web users without a pre-defined formal ontology. Compared to the formal annotations, although social annotations are coarse-grained, informal and vague, they are also more accessible to more people and better reflect the web resources' meaning from the users' point of views during their actual usage of the web resources. Using a social bookmark service as an example, we show how emergent semantics [2] can be statistically derived from the social annotations. Furthermore, we apply the derived emergent semantics to discover and search shared web bookmarks. The initial evaluation on our implementation shows that our method can effectively discover semantically related web bookmarks that current social bookmark service can not discover easily.http://www.bibsonomy.org/bibtex/2b49b9d453b109094a8852111bea86d4d/bluedolphinbluedolphin2006-08-03T13:25:12+02:00relationships social_network rdf description foaf model social <span style="color:#555555;">Peter <a href="http://www.bibsonomy.org/author/Mika">Mika</a> and Aldo <a href="http://www.bibsonomy.org/author/Gangemi">Gangemi</a> </span><em>1st Workshop on Friend of a Friend, Social Networking and the (Semantic) Web, </em><em>September2004. </em>Thu Aug 03 13:25:12 CEST 20061st Workshop on Friend of a Friend, Social Networking and the (Semantic) WebSeptemberDescriptions of Social Relations2004relationships social_network rdf description foaf model social 1-2http://www.bibsonomy.org/bibtex/21ec4e42db3e61a061c4c49607f182b3d/bluedolphinbluedolphin2006-07-21T14:45:09+02:00description social relationships social_network <span style="color:#555555;">Claudio <a href="http://www.bibsonomy.org/author/Masolo">Masolo</a> and Laure <a href="http://www.bibsonomy.org/author/Vieu">Vieu</a> and Emanuele <a href="http://www.bibsonomy.org/author/Bottazzi">Bottazzi</a> and Carola <a href="http://www.bibsonomy.org/author/Catenacci">Catenacci</a> and Roberta <a href="http://www.bibsonomy.org/author/Ferrario">Ferrario</a> and Aldo <a href="http://www.bibsonomy.org/author/Gangemi">Gangemi</a> and Nicola <a href="http://www.bibsonomy.org/author/Guarino">Guarino</a> </span><em>Proceedings of the Ninth International Conference on the Principles of Knowledge Representation and Reasoning (KR2004), </em><em>page267-277. </em><em>June2004. </em>Fri Jul 21 14:45:09 CEST 2006Proceedings of the Ninth International Conference on the Principles of Knowledge Representation and Reasoning (KR2004)June267-277 Social Roles and their Descriptions2004description social relationships social_network 2-5This paper offers two main contributions. On the one hand, it establishes a general formal framework for developing a foundational ontology of socially constructed entities, in the broadest sense of this notion; on the other hand, it further contributes to understanding the ontological nature of roles. The key choice here is to put all social entities in the domain of discourse: besides social individuals, we also consider "reified" social concepts and roles, as well as their descriptions, i.e, the "social conventions" or "contexts" that define them. This allows us to formally characterize in a first-order theory the relationships among all these entities.