Publications

Christos Giatsidis, Dimitrios M. Thilikos, und Michalis Vazirgiannis. Evaluating Cooperation in Communities with the k-Core Structure. Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on, 87-93, 2011. [PUMA: community core k-core] URL

Stephan Doerfel, und Robert Jäschke. An Analysis of Tag-Recommender Evaluation Procedures. Proceedings of the 7th ACM conference on Recommender systems, 343--346, ACM, New York, NY, USA, 2013. [PUMA: 2013 BibSonomy core evaluation iteg itegpub l3s myown recsys tag] URL

Stephan Doerfel, und Robert Jäschke. An analysis of tag-recommender evaluation procedures. Proceedings of the 7th ACM conference on Recommender systems, 343--346, ACM, New York, NY, USA, 2013. [PUMA: 2013 bibsonomy bookmarking collaborative core evaluation folkrank folksonomy graph iteg itegpub l3s recommender social tagging] URL

Stephan Doerfel, und Robert Jäschke. An Analysis of Tag-Recommender Evaluation Procedures. Proceedings of the 7th ACM conference on Recommender systems, 343--346, ACM, New York, NY, USA, 2013. [PUMA: 2013 BibSonomy core evaluation myown recsys tag] URL

Michael Baur, Marco Gaertler, Robert Görke, Marcus Krug, und Dorothea Wagner. Generating Graphs with Predefined k-Core Structure. Proceedings of the European Conference of Complex Systems, Oktober 2007. [PUMA: analysis core generator graph structure] URL

Vladimir Batagelj, und Matjaž Zaveršnik. Fast algorithms for determining (generalized) core groups in social networks. Advances in Data Analysis and Classification, (5)2:129--145, Springer, 2011. [PUMA: analysis core network sna social] URL

Vladimir Batagelj, und Matjaz Zaversnik. Generalized Cores. CoRR, (cs.DS/0202039)2002. [PUMA: core generalized p-core] URL

Adel Ahmed, Vladimir Batagelj, Xiaoyan Fu, Seok-Hee Hong, Damian Merrick, und Andrej Mrvar. Visualisation and analysis of the internet movie database. Visualization, 2007. APVIS '07. 2007 6th International Asia-Pacific Symposium on, 17 -24, Februar 2007. [PUMA: analysis core imdb] URL

Vladimir Batagelj, und Matjaž Zaveršnik. Fast algorithms for determining (generalized) core groups in social networks. Advances in Data Analysis and Classification, (5)2:129-145, Springer, Berlin / Heidelberg, 2011. [PUMA: core graph] URL

Vladimir Batagelj, Andrej Mrvar, und Matjaž Zaveršnik. Partitioning Approach to Visualization of Large Graphs. In Jan Kratochvíyl (Hrsg.), Graph Drawing, (1731):90-97, Springer, Berlin / Heidelberg, 1999. [PUMA: core graph] URL

V. Batagelj, und M. Zaversnik. An O(m) Algorithm for Cores Decomposition of Networks. 2003. [PUMA: core graph network] URL

Stephen B. Seidman. Network structure and minimum degree. Social Networks, (5)3:269 - 287, 1983. [PUMA: core graph network] URL

Vladimir Batagelj, und Matjaž Zaveršnik. Generalized Cores. 2002. [PUMA: core generalized p-core] URL

Vincent Duquenne. The core of finite lattices. Discrete Math., (87)2-3:133--147, Elsevier Science Publishers B. V., Amsterdam, The Netherlands, The Netherlands, 1991. [PUMA: cited core da diplomarbeit finite lattice scaffolding]

Vincent Duquenne. The core of finite lattices. Discrete Mathematics, (88)2-3:133 - 147, 1991. [PUMA: core fca lattice scaffolding] URL

Robert Jäschke, Leandro Marinho, Andreas Hotho, Lars Schmidt-Thieme, und Gerd Stumme. Tag Recommendations in Social Bookmarking Systems. In Enrico Giunchiglia (Hrsg.), AI Communications, (21)4:231-247, IOS Press, Amsterdam, 2008. [PUMA: bookmark core folkrank folksonomy recommendations social tag] URL

Michael Behrisch, Amin Coja-Oghlan, und Mihyun Kang. The order of the giant component of random hypergraphs. Januar 2007. [PUMA: core giant hypergraph kcore order random] URL

V. Batagelj, und M. Zaversnik. Generalized Cores. CoRR, (cs.DS/0202039)2002. [PUMA: analysis core generalized graph kcore network] URL

Jose Ignacio Alvarez-Hamelin, Luca Dall'Asta, Alain Barrat, und Alessandro Vespignani. k-core decomposition: a tool for the analysis of large scale Internet graphs. 2005. [PUMA: analysis core decomposition graph kcore network toread] URL