Social spam detection..
In: D. Fetterly and Z. Gyöngyi, editors,
AIRWeb, series ACM International Conference Proceeding Series, pages 41-48.
2009.
Benjamin Markines, Ciro Cattuto and Filippo Menczer.
[doi]
[BibTeX]
Position Paper: Ontology Learning from Folksonomies..
In: A. Hinneburg, editor,
LWA 2007: Lernen - Wissen - Adaption, Halle, September 2007, Workshop Proceedings (LWA), pages 109-112.
Martin-Luther-University Halle-Wittenberg, 2007.
Dominik Benz and Andreas Hotho.
[doi]
[BibTeX]
Collaborative Tagging and Semiotic Dynamics.
PNAS, 104:1461, 2007.
Ciro Cattuto, Vittorio Loreto and Luciano Pietronero.
[doi]
[abstract]
[BibTeX]
Collaborative tagging has been quickly gaining ground because of its ability to recruit the activity of web users into effectively organizing and sharing vast amounts of information. Here we collect data from a popular system and investigate the statistical properties of tag co-occurrence. We introduce a stochastic model of user behavior embodying two main aspects of collaborative tagging: (i) a frequency-bias mechanism related to the idea that users are exposed to each other's tagging activity; (ii) a notion of memory - or aging of resources - in the form of a heavy-tailed access to the past state of the system. Remarkably, our simple modeling is able to account quantitatively for the observed experimental features, with a surprisingly high accuracy. This points in the direction of a universal behavior of users, who - despite the complexity of their own cognitive processes and the uncoordinated and selfish nature of their tagging activity - appear to follow simple activity patterns.
Network Properties of Folksonomies.
AI Communications, 20(4):245 - 262, 2007.
Ciro Cattuto, Christoph Schmitz, Andrea Baldassarri, Vito D. P. Servedio, Vittorio Loreto, Andreas Hotho, Miranda Grahl and Gerd Stumme.
[doi]
[BibTeX]
Conceptual Clustering of Social Bookmarking Sites.
In:
7th International Conference on Knowledge Management (I-KNOW '07), pages 356-364.
Know-Center, Graz, Austria, 2007.
Miranda Grahl, Andreas Hotho and Gerd Stumme.
[abstract]
[BibTeX]
Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of the system, but it does not allow a conceptual drill-down, e. g., along a conceptual hierarchy. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy. The hierarchy is complemented with ranked lists of users and resources most related to each cluster. The rankings are computed using our FolkRank algorithm. We have evaluated our approach on large scale data from the del.icio.us bookmarking system.
Fighting Spam on Social Web Sites: A Survey of Approaches and Future Challenges..
IEEE Internet Computing, 11(6):36-45, 2007.
Paul Heymann, Georgia Koutrika and Hector Garcia-Molina.
[doi]
[BibTeX]
Tag Recommendations in Folksonomies.
In: J. N. Kok, J. Koronacki, R. L. de Mántaras, S. Matwin, D. Mladenic and A. Skowron, editors,
Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007, Proceedings, volume 4702, series Lecture Notes in Computer Science, pages 506-514.
Springer, 2007.
Robert Jäschke, Leandro Balby Marinho, Andreas Hotho, Lars Schmidt-Thieme and Gerd Stumme.
[doi]
[BibTeX]
On the Structure, Properties and Utility of Internal Corporate Blogs.
In:
Proceedings of the International Conference on Weblogs and Social Media (ICWSM 2007).
2007.
Nominated for Best Paper Award
Pranam Kolari, Tim Finin, Yelena Yesha, Yaacov Yesha, Kelly Lyons, Stephen Perelgut and Jen Hawkins.
[doi]
[BibTeX]
Combating spam in tagging systems.
In:
AIRWeb '07: Proceedings of the 3rd international workshop on Adversarial information retrieval on the web, pages 57-64.
ACM Press, New York, NY, USA, 2007.
Georgia Koutrika, Frans Adjie Effendi, Zoltán Gyöngyi, Paul Heymann and Hector Garcia-Molina.
[doi]
[BibTeX]
Using PersonalizedWeb Search for Enhancing Common Sense and Folksonomy Based Intelligent Search Systems.
wi, 0:423-426, 2007.
Mohammad Nauman and Shahbaz Khan.
[BibTeX]
The folksonomy tag cloud: When is it useful?.
Journal of Information Science:016555150607808, 2007.
J. Sinclair and M. Cardew-Hall.
[BibTeX]
Distributed feature extraction in a p2p setting: a case study.
Future Gener. Comput. Syst., 23(1):69-75, 2007.
Michael Wurst and Katharina Morik.
[doi]
[BibTeX]
Preferential attachment in the growth of social networks: the case of Wikipedia.
CoRR, abs/physics/0602026, 2006.
informal publication
Andrea Capocci, Vito Domenico Pietro Servedio, Francesca Colaiori, Luciana S. Buriol, Debora Donato, Stefano Leonardi and Guido Caldarelli.
[doi]
[BibTeX]
Information Retrieval in Folksonomies: Search and Ranking.
In:
Proceedings of the 3rd European Semantic Web Conference , volume 4011, series LNCS, pages 411-426.
Springer, Budva, Montenegro, 2006.
Andreas Hotho, Robert Jäschke, Christoph Schmitz and Gerd Stumme.
[doi]
[BibTeX]
TRIAS - An Algorithm for Mining Iceberg Tri-Lattices.
In:
Proc. 6th ICDM conference.
Hong Kong, 2006.
Robert Jäschke, Andreas Hotho, Christoph Schmitz, Bernhard Ganter and Gerd Stumme.
[BibTeX]
Mining Association Rules in Folksonomies.
In: V. Batagelj, H.-H. Bock, A. Ferligoj and A. Žiberna, editors,
Data Science and Classification (Proc. IFCS 2006 Conference), series Studies in Classification, Data Analysis, and Knowledge Organization, pages 261-270.
Springer, Berlin/Heidelberg, 2006.
Ljubljana
Christoph Schmitz, Andreas Hotho, Robert Jäschke and Gerd Stumme.
[doi]
[BibTeX]
tagging, communities, vocabulary, evolution.
In:
CSCW '06: Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work, pages 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 and John Riedl.
[doi]
[abstract]
[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.
A Finite State Model for On-Line Analytical Processing in
Triadic Contexts.
In: B. Ganter and R. Godin, editors,
Proc. 3rd Intl. Conf. on Formal Concept Analysis, volume 3403, series Lecture Notes in Computer Science, pages 315-328.
Springer, Heidelberg, 2005.
Gerd Stumme.
[doi]
[BibTeX]
Bootstrapping knowledge representations: from entailment meshes via semantic nets to learning webs.
Kybernetes, 30(5/6):691-722, 2001.
Francis Heylighen.
[doi]
[BibTeX]
A triadic approach to formal concept analysis.
In: G. Ellis, R. Levinson, W. Rich and J. F. Sowa, editors,
Conceptual structures: applications, implementation and theory, series Lecture Notes in Artificial Intelligence, pages 32-43.
Springer--Verlag, Berlin--Heidelberg--New~York, 1995.
Fritz Lehmann and Rudolf Wille.
[BibTeX]