Tie strength distribution in scientific collaboration networks.
Phys. Rev. E, 90(3):032804, 2014.
Qing Ke und Yong-Yeol Ahn.
[doi]
[BibTeX]
On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity.
In:
Proc. IEEE CPSCom 2013.
IEEE Computer Society, Boston, MA, USA, 2013.
Mark Kibanov, Martin Atzmueller, Christoph Scholz und Gerd Stumme.
[BibTeX]
User-Relatedness and Community Structure in Social Interaction Networks.
2013. cite arxiv:1309.3888.
Folke Mitzlaff, Martin Atzmueller, Dominik Benz, Andreas Hotho und Gerd Stumme.
[doi]
[Kurzfassung]
[BibTeX]
With social media and the according social and ubiquitous applications finding their way into everyday life, there is a rapidly growing amount of user generated content yielding explicit and implicit network structures. We consider social activities and phenomena as proxies for user relatedness. Such activities are represented in so-called social interaction networks or evidence networks, with different degrees of explicitness. We focus on evidence networks containing relations on users, which are represented by connections between individual nodes. Explicit interaction networks are then created by specific user actions, for example, when building a friend network. On the other hand, more implicit networks capture user traces or evidences of user actions as observed in Web portals, blogs, resource sharing systems, and many other social services. These implicit networks can be applied for a broad range of analysis methods instead of using expensive gold-standard information. In this paper, we analyze different properties of a set of networks in social media. We show that there are dependencies and correlations between the networks. These allow for drawing reciprocal conclusions concerning pairs of networks, based on the assessment of structural correlations and ranking interchangeability. Additionally, we show how these inter-network correlations can be used for assessing the results of structural analysis techniques, e.g., community mining methods.
Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles.
In:
Modeling and Mining Ubiquitous Social Media.
Springer Verlag, Heidelberg, Germany, 2012.
Martin Atzmueller, Stephan Doerfel, Andreas Hotho, Folke Mitzlaff und Gerd Stumme.
[doi]
[BibTeX]
Mining Social Media.
Informatik Spektrum, 35(2):132-135, 2012.
Martin Atzmueller.
[BibTeX]
Mining Social Media: Key Players, Sentiments, and Communities.
WIREs: Data Mining and Knowledge Discovery, In Press, 2012.
Martin Atzmueller.
[BibTeX]
Publication Analysis of the Formal Concept Analysis Community.
In: F. Domenach, D. Ignatov und J. Poelmans
(Herausgeber):
ICFCA 2012, Band 7278, Reihe Lecture Notes in Artificial Intelligence, Seiten 77-95.
Springer, Berlin/Heidelberg, 2012.
Stephan Doerfel, Robert Jäschke und Gerd Stumme.
[doi]
[Kurzfassung]
[BibTeX]
We present an analysis of the publication and citation networks of all previous editions of the three conferences most relevant to the FCA community: ICFCA, ICCS and CLA. Using data mining methods from FCA and graph analysis, we investigate patterns and communities among authors, we identify and visualize influential publications and authors, and we give a statistical summary of the conferences’ history.
Face-to-Face Contacts during a Conference: Communities, Roles, and Key Players.
In:
Proc. Workshop on Mining Ubiquitous and Social Environments (MUSE 2011) at ECML/PKDD 2011.
2011.
Martin Atzmueller, Stephan Doerfel, Andreas Hotho, Folke Mitzlaff und Gerd Stumme.
[BibTeX]
Privatsphären- und Datenschutz in Community-Plattformen: Gestaltung von Online-Bewertungsportalen.
In: H.-U. Heiß, P. Pepper, H. Schlingloff und J. Schneider
(Herausgeber):
Informatik 2011 - Informatik schafft Communities - Proceedings der 41. GI-Jahrestagung , Band 192, Reihe Lecture Notes in Informatics, Seiten 412.
Bonner Köllen Verlag, 2011.
Aliye Kartal, Stephan Doerfel, Alexander Roßnagel und Gerd Stumme.
[doi]
[Kurzfassung]
[BibTeX]
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.
Community Assessment using Evidence Networks.
In:
Analysis of Social Media and Ubiquitous Data, Band 6904, Reihe LNAI.
2011.
Folke Mitzlaff, Martin Atzmueller, Dominik Benz, Andreas Hotho und Gerd Stumme.
[BibTeX]
Community Assessment using Evidence Networks.
In:
Proceedings of the Workshop on Mining Ubiquitous and Social Environments (MUSE2010).
Barcelona, Spain, 2010.
Folke Mitzlaff, Martin Atzmüller, Dominik Benz, Andreas Hotho und Gerd Stumme.
[doi]
[Kurzfassung]
[BibTeX]
Community mining is a prominent approach for identifying (user) communities in social and ubiquitous contexts. While there are a variety of methods for community mining and detection, the effective evaluation and validation of the mined communities is usually non-trivial. Often there is no evaluation data at hand in order to validate the discovered groups. This paper proposes evidence networks using implicit information for the evaluation of communities. The presented evaluation approach is based on the idea of reconstructing existing social structures for the assessment and evaluation of a given clustering. We analyze and compare the presented evidence networks using user data from the real-world social bookmarking application BibSonomy. The results indicate that the evidence networks reflect the relative rating of the explicit ones very well.
Community Structure in Time-Dependent, Multiscale, and Multiplex Networks.
Science, 328(5980):876-878, 2010.
Peter J. Mucha, Thomas Richardson, Kevin Macon, Mason A. Porter und Jukka-Pekka Onnela.
[doi]
[Kurzfassung]
[BibTeX]
Network science is an interdisciplinary endeavor, with methods and applications drawn from across the natural, social, and information sciences. A prominent problem in network science is the algorithmic detection of tightly connected groups of nodes known as communities. We developed a generalized framework of network quality functions that allowed us to study the community structure of arbitrary multislice networks, which are combinations of individual networks coupled through links that connect each node in one network slice to itself in other slices. This framework allows studies of community structure in a general setting encompassing networks that evolve over time, have multiple types of links (multiplexity), and have multiple scales.
Modularity clustering is force-directed layout.
2008.
Andreas Noack.
[doi]
[Kurzfassung]
[BibTeX]
Two natural and widely used representations for the community structure of networks are clusterings, which partition the vertex set into disjoint subsets, and layouts, which assign the vertices to positions in a metric space. This paper unifies prominent characterizations of layout quality and clustering quality, by showing that energy models of pairwise attraction and repulsion subsume Newman and Girvan's modularity measure. Layouts with optimal energy are relaxations of, and are thus consistent with, clusterings with optimal modularity, which is of practical relevance because both representations are complementary and often used together.
DENGRAPH: A Density-based Community Detection Algorithm.
In:
In Proc. of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence,, Seiten 112-115.
2007.
Tanja Falkowski, Anja Barth und Myra Spiliopoulou.
[doi]
[BibTeX]
Wege zur Entdeckung von Communities in Folksonomies.
In: S. Braß und A. Hinneburg
(Herausgeber):
Proc. 18. Workshop Grundlagen von Datenbanken, Seiten 80-84.
Martin-Luther-Universität , Halle-Wittenberg, 2006.
Robert Jäschke, Andreas Hotho, Christoph Schmitz und Gerd Stumme.
[doi]
[Kurzfassung]
[BibTeX]
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.
tagging, communities, vocabulary, evolution.
In:
CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work, Seiten 181-190.
ACM, New York, NY, USA, 2006.
Shilad Sen, Shyong K. Lam, Al Mamunur Rashid, Dan Cosley, Dan Frankowski, Jeremy Osterhouse, F. Maxwell Harper und John Riedl.
[doi]
[Kurzfassung]
[BibTeX]
A tagging community's vocabulary of tags forms the basis for social navigation and shared expression.We present a user-centric model of vocabulary evolution in tagging communities based on community influence and personal tendency. We evaluate our model in an emergent tagging system by introducing tagging features into the MovieLens recommender system.We explore four tag selection algorithms for displaying tags applied by other community members. We analyze the algorithms 'effect on vocabulary evolution, tag utility, tag adoption, and user satisfaction.
Ontologies in Peer-to-Peer Communities.
Heraklion, Greece, 2005.
Peter Haase, Christoph Schmitz und York Sure.
[doi]
[BibTeX]
Towards Self-Organizing Communities in Peer-to-Peer Knowledge Management.
In:
Proc. ESWC 2005 Workshop on Ontologies in Peer-to-Peer Communities.
Heraklion, Greece, 2005.
Christoph Schmitz.
[doi]
[BibTeX]
Email as Spectroscopy: Automated Discovery of Community Structure within Organizations.
2003.
Joshua R Tyler, Dennis M Wilkinson und Bernardo A Huberman.
[doi]
[BibTeX]
Trawling the Web for emerging cyber-communities.
Computer Networks , 31(11--16):1481-1493, 1999.
Ravi Kumar, Prabhakar Raghavan, Sridhar Rajagopalan und Andrew Tomkins.
[doi]
[BibTeX]