Nonlinear Dynamics in Networks with Complex Topologies

Networks consist of nodes, interconnected by a mesh of links. Their macroscopic behaviour is determined by both the dynamical rules governing the nodes and the flow occurring along the links.

Real networks of interacting dynamical systems - be they neurons, power stations, lasers, or computers - are complex. Complexity may come from different sources: topological structure, network evolution, connection and node diversity, and/or dynamical evolution. Most networks offer support for various dynamical processes.

In this research we propose to study dynamical processes in non-trivial complex network topologies, developing theoretical and computational methods for modeling dynamics of networks and flows on networks.

Research groups

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