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