BibSonomy publications for /tag/communityMon Jan 30 09:27:21 CET 2012Analysis of Social Media and Ubiquitous DataLNAI{Community Assessment using Evidence Networks}690420112011 assessment community myown Fri Jan 27 14:10:42 CET 2012Encyclopedia of Environmental Health53-63Air Transportation and Human Health2011Act; Air Aircraft Airspace Cabin Community Control FAA Noise Project; Quality Redesign Runoff; Waste air emissions; life; of production quality; residents; traffic; Recognition of the adverse impact of air transport on the environment and on human health is a prerequisite to the mitigation of such impacts. Aircraft- and airport-associated vehicular traffic produces noise and releases combustion products to the atmosphere including substantial quantities of air toxics. The noise adversely impacts health and produces annoyance, particularly in residential communities near large airports. Waste production and runoff at airports contribute to contamination of soil and water. Deterioration of cabin air quality via infectious agent or contaminant release from either passengers or mechanical systems, though infrequent, can affect crew and passengers.Mon Jan 23 09:21:59 CET 2012New York, NY, USACHI '04: Proceedings of the SIGCHI conference on Human factors in computing systems631--638Think different: increasing online community participation using uniqueness and group dissimilarity2004community increasing online participation uniqueness Mon Jan 23 09:19:54 CET 2012Lecture Notes in Computer Science307--316An Economic Model of User Rating in an Online Recommender System35382005analysis collaborative community recommender Thu Jan 19 16:04:37 CET 2012TU DresdenVirtuelle Organisation und Neue Medien 2008: Workshop Gemeinschaften in Neuen Medien241-252Idea Mirrors - Einsatz großer Wandbildschirme zur Förderung diskontinuierlicher Innovation in der Softwarebranche2008enterprise2.0 largescreen communitymirror community ideamirror own awareness cscm ubiquitous socialsoftware innovation Thu Jan 19 15:58:03 CET 2012Rome, Italy10. European Academy of Management Conference (EURAM) 2010197 (45-10) 10Extending Open Innovation Platforms into the real world - Using Large Displays in Public Spaces2010idea support collaborative filtering community pub_jml computing evaluation itegpub open IdeaMirror pub_ubr ubiquitous innovation Tue Jan 17 11:37:09 CET 2012Phys. Rev. Eaug026132Finding local community structure in networks722005algorithm clauset community detection local modularity Tue Jan 17 11:22:21 CET 2012Web Intelligence and Agent Systems4387--400Exploring local community structures in large networks62008community detection local modularity Tue Jan 17 11:19:37 CET 2012Berlin, HeidelbergProceedings of the 12th international conference on Data warehousing and knowledge discovery65--76DaWaK'10A graph-based clustering scheme for identifying related tags in folksonomies2010community detection folksonomy local modularity The paper presents a novel scheme for graph-based clustering with the goal of identifying groups of related tags in folksonomies. The proposed scheme searches for core sets, i.e. groups of nodes that are densely connected to each other by efficiently exploring the two-dimensional core parameter space, and successively expands the identified cores by maximizing a local subgraph quality measure. We evaluate this scheme on three real-world tag networks by assessing the relatedness of same-cluster tags and by using tag clusters for tag recommendation. In addition, we compare our results to the ones derived from a baseline graph-based clustering method and from a popular modularity maximization clustering method.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 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.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 Wed Dec 21 08:52:42 CET 2011Proceedings of the National Academy of Sciences238577--8582Modularity and community structure in networks1032006clustering community graph modularity network structure Many networks of interest in the sciences, including social networks, computer networks, and metabolic and regulatory networks, are found to divide naturally into communities or modules. The problem of detecting and characterizing this community structure is one of the outstanding issues in the study of networked systems. One highly effective approach is the optimization of the quality function known as “modularity” over the possible divisions of a network. Here I show that the modularity can be expressed in terms of the eigenvectors of a characteristic matrix for the network, which I call the modularity matrix, and that this expression leads to a spectral algorithm for community detection that returns results of demonstrably higher quality than competing methods in shorter running times. I illustrate the method with applications to several published network data sets.Tue Dec 20 00:12:51 CET 2011Pattern Recognition Letters5413-421Identifying and evaluating community structure in complex networks312010community networks Wed Dec 14 15:41:53 CET 2011IEEE computer society conference on computer vision and pattern recognitionRobust data clustering22003cluster community comparison detection evaluation information mutual nmi normalized Wed Dec 14 11:37:24 CET 2011Journal of Statistical Mechanics: Theory and ExperimentP09008Comparing community structure identification20052005community comparison detection evaluation information mutual nmi normalized Sun Dec 11 17:54:19 CET 2011Berlin, HeidelbergProceedings of the 15th international conference on Advances in databases and information systems285--301ADBIS'11An analysis of the structure and dynamics of large-scale Q/A communities2011Community QA Research SNA Thu Dec 08 14:12:41 CET 2011Journal of Information Science5487-498Information quality assessment of community generated content: A user study of Wikipedia372011A Information Wikipedia assessment bisibs community content: generated of quality study user This study examines the ways in which information consumers evaluate the quality of content in a collaborative-writing environment, in this case Wikipedia. Sixty-four users were asked to assess the quality of five articles from the Hebrew Wikipedia, to indicate the highest- and lowest-quality article of the five and explain their choices. Participants viewed both the article page, and the article’s history page, so that their decision was based both on the article’s current content and on its development. The analysis shows that the attributes that most frequently assisted the users in deciding about the quality of the items were not unique to Wikipedia: attributes such as amount of information, satisfaction with content and external links were mentioned frequently, as with other information quality studies on the web. The findings also support the claim that quality is a subjective concept which depends on the user’s unique point of view. Attributes such as number of edits and number of unique editors received two contradictory meanings – both few edits/editors and many edits/editors were mentioned as attributes of high-quality articles.Tue Dec 06 11:15:12 CET 2011New York, NY, USAProceedings of the 12th international conference on Intelligent user interfaces52--61Collecting community wisdom: integrating social search \& social navigation2007community navigation search social The goal of this paper is to detail the integration of two "social Web" technologies - social search and social navigation - and to highlight the benefits of such integration on two levels. Firstly, both technologies harvest and harness "community wisdom" and in an integrated system each of the search and navigation components can benefit from the additional community wisdom gathered by the other when assisting users to locate relevant information. Secondly, by integrating search and browsing we facilitate the development of a unique interface that effectively blends search and browsing functionality as part of a seamless social information access service. This service allows users to effectively combine their search and browsing behaviors. In this paper we will argue that this integration provides significantly more than the simple sum of the parts.Thu Dec 01 21:00:38 CET 2011WWWconf/www/2008665-674Knowledge sharing and yahoo answers: everyone knows something.2008Community QA Research SNA communityCommunity for tag(s) community