The integration of sensors with social networks will lead to real-time data and more useful web apps. In recent posts we reviewed an MIT experiment called WikiCity, that gathered real-time location data from mobile phones in Rome and graphically mapped trends from it. We then looked at a more commercial product doing similar real-time location data analysis, called Citysense. That product aims to let users find the most popular night spots in San Francisco and the most efficient ways to get to them. The next stage of projects/products such as Wikicity and Citysense will be to enable users to social...
11:30-12:15:
Jean-Loup
Guillaume, Université catholique de Louvain,
Belgium and Université de Paris 6, France
Ultra-fast
multi-resolution method for detecting communities in large networks
M. Atzmueller, L. Thiele, G. Stumme, und S. Kauffeld. Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017), Eindhoven, The Netherlands, Eindhoven University of Technology, (2017)
F. Mitzlaff, M. Atzmueller, D. Benz, A. Hotho, und G. Stumme. Analysis of Social Media and Ubiquitous Data, Volume 6904 von Lecture Notes in Computer Science, Seite 79-98. Springer Berlin Heidelberg, (2011)
L. Backstrom, C. Dwork, und J. Kleinberg. Proceedings of the 16th international conference on World Wide Web, Seite 181--190. New York, NY, USA, ACM, (2007)
A. Narayanan, und V. Shmatikov. (2009)cite arxiv:0903.3276
Comment: Published in the 30th IEEE Symposium on Security and Privacy, 2009.
The definitive version is available at:
http://www.cs.utexas.edu/~shmat/shmat_oak09.pdf Frequently Asked Questions
are answered at: http://www.cs.utexas.edu/~shmat/socialnetworks-faq.html.
U. Brandes, und T. Willhalm. Proceedings of the symposium on Data Visualisation 2002, Seite 159--ff. Aire-la-Ville, Switzerland, Switzerland, Eurographics Association, (2002)