Our mission is to leverage the methods of machine learning and game theory for addressing relevant applications both in recreational games and in abstract decision games played in the real world.
Gephi is an open-source software for visualizing and analyzing large networks graphs. Gephi uses a 3D render engine to display graphs in real-time and speed up the exploration. Use Gephi to explore, analyse, spatialise, filter, cluterize, manipulate and export all types of graphs.
Visualization of graph data is incredibly challenging, particularly when it comes to extremely large, scale-free graphs and social networks. A few simple searches on the Web and you will find some mesmerizing and very cool images. Perhaps the most cited...
[updated with Tagommenders paper – thanks Shilad.] The organizers of the World Wide Web conference recently announced the list of accepted papers for this year’s event. In the Social Networks and Web 2.0 track (chaired by Elisa Bertino and Lada...
A. Traud, P. Mucha, und M. Porter. (2011)cite arxiv:1102.2166
Comment: 82 pages (including many pages of tables), 8 multi-part figures,
"Facebook100" data used in this paper is publicly available at
http://people.maths.ox.ac.uk/~porterm/data/facebook100.zip.
B. Berendt, A. Hotho, und G. Stumme. Web Semantics: Science, Services and Agents on the World Wide Web8 (2-3):
95 - 96(2010)Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences.
C. Schmitz, A. Hotho, R. Jäschke, und G. Stumme. Data Science and Classification (Proc. IFCS 2006 Conference), Seite 261-270. Berlin/Heidelberg, Springer, (Juli 2006)Ljubljana.