IRTG 1740/2: Dynamical Phenomena in Complex Networks: Fundamentals and Applications

During the last decade, networks with complex topology have become a very powerful approach for understanding large complex systems in various fields of applications ranging from Neuroscience, via Engineering to Sociology and Economy. So far, most studies have concentrated on fixed topology, i.e. were strongly restricted in their applicability. Therefore, we intend to study principles of self-organization in evolving complex networks in this IRTG. To bring these principles closer to various applications, we will in addition investigate the influence of heterogeneity in the network structure, multiscale time delays and stochasticity. These theoretical studies will be intimately connected with the investigation of experimental and natural dynamical networks of increasing complexity starting from power grids, via infection networks and networks of neurons to the Earth system. The latter one is a special challenge for the network theory and it will be a focus of this IRTG. In this context, the main topic will be to understand the functioning of the Earth´s subsystems under changing conditions, especially global warming and land-use-change in Amazonia.

Kurths, Jürgen Prof. Dr. Dr. h.c. (Details) (Nonlinear Dynamics)

Other Team Members
Falcke, Martin Prof. Dr. (Max Delbrück Center for Molecular Medicine in the Helmholtz Association)
Lindner, Benjamin Prof. Dr. (Details) (Theoretical Physics / Theory of Complex Systems and Neurophysics)
Perkowski, Nicolas Prof. Dr. (Details) (Stochastic Analysis)
Rüdiger, Sten PD Dr. (Details) (Theoretical Physics / Statistical Physics and Nonlinear Dynamics)
Sokolov, Igor Prof. Dr. rer. nat. (Details) (Theoretical Physics / Statistical Physics and Nonlinear Dynamics)

participating organizational facilities of the HU

DFG: Graduiertenkollegs

Duration of Project
Start date: 04/2016
End date: 12/2020

Research Areas
Natural Sciences

Last updated on 2020-16-09 at 12:03