Beyond Markov models for networked complex systems

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• Renaud Lambiotte, Department of Mathematics/Naxys University of Namur, Belgium
• Friday 05 October 2012, 12:00-13:00
• Dennis Gabor Seminar Room (611), EEE Department.

If you have a question about this talk, please contact Henrik J Jensen.

The last decade has seen network theory play a central role in the study of complex systems. At the heart of a network viewpoint, there is usually a Markov assumption, as the dynamical state of a node only depends on the state of its neighbours at the previous time step. In this talk, I will focus on non-Markovian models, with path and time dependent memory, and argue for the importance of such effects to model realistic dynamics on complex networks.

This talk is part of the Complexity & Networks Group series.

This talk is included in these lists:

• Complexity & Networks Group
• Dennis Gabor Seminar Room (611), EEE Department

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