ISC-PIF Guest Researcher //
UMR7656 CREA CNRS
57/59, rue Lhomond 75005 Paris, France
Homepage : rouquier.org/jb
Cellular automata: as a model of complex systems. Perturbation, asynchronism, robustness.
Complex networksThis field can be structured into 5 categories :
- Measure: how to collect reliable and dynamic data on a large scale.
- Analysis: how to describe the measured graph and extract relevant information.
- Modeling: once the main properties have been identified, reproducing them in a formal model is crucial to explain them, establish theorems and conduct simulations.
- Algorithmics: quadratic algorithms are not practical any more on such big graphs, classical problems needs thus to be studied again. In compensation, characteristic properties of those graphs can help design specialized algorithms.
- Visualization: how to reprensent data associated to node and links for efficient exploration and understanding of the graphs.
I work more specifically on communities, structure, dynamics and networks arising in various (quite different) domains. I have an interest for large datasets.
I have worked on the Vélo'v / Vélib network, and on publication networks.
CollaborationIXXI : Pablo Jensen, Patrice Abry, Patrick Flandrin, Pierre Borgnat et al.
SFI : Cris Moore and his students
Damien Regnault and Éric Thierry
See complete and up-to-date list, with abstracts and links, on www.rouquier.org/jb/recherche/publications.php
Cosma Rohilla Shalizi, Robert Haslinger, Jean-Baptiste Rouquier, Kristina Lisa Klinkner, and Cristopher Moore. Automatic filters for the detection of coherent structure in spatiotemporal systems. Physical Review E, 73(3):036104, March 2005.
Pablo Jensen, Jean-Baptiste Rouquier, Pablo Kreimer, and Yves Croissant. Scientists who engage with society perform better academically. Science and Public Policy, 35(7):527-541, Aug 2008.
Jean-Baptiste Rouquier and Michel Morvan. Coalescing cellular automata: Synchronization by common random source for asynchronous updating. Journal of Cellular Automata, 4:55-78, 2009.
Xiao Ran Yan, Yao Jia Zhu, Jean-Baptiste Rouquier, and Cristopher Moore. Active learning for hidden attributes in networks. In Edoardo Airoldi, Jon Kleinberg, Jure Leskovec, and Josh Tenenbaum, editors, 22nd Annual Conference on Neural Information Processing Systems, Workshop on Analyzing Networks and Learning with Graphs, December 2009
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