Probability

We investigate probabilistic networks and their applications in statistical physics and networking. A special focus is on the structure of random graphs, algorithms and stochastic processes on them, as well as spin systems and self-interacting random processes.  The main aim is to identify the scaling behavior for such systems, by applying methodology such as large deviations, combinatorial expansions and coupling techniques.

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Investigating probabilistic networks and their applications in statistical physics and networking. 

Applications include physics, social networks, and complexity problems such as arising in chemistry and biomedical engineering.

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