Konstantin Klemm

My research is on the theory of complex networked systems. Tools from statistical physics, dynamical systems and algorithmic graph theory are employed to tackle fundamental questions about the interplay between structure of interactions, local rules and macroscopic behaviour. Motivation and applications arise, on the one hand, from biochemical interactions in living cells. While conceptually simple as state discrete iterated maps, Boolean networks are a successful and highly accurate modeling approach to such biological systems with many degrees of freedom. Questions of evolvability, stability under structural and dynamical perturbations as well as the relevance of noise are being addressed. Similar questions arise in social systems with processes of collective information diffusion and opinion formation. Again such phenomena have coarse-grained descriptions as, e.g., spin-spin interactions in models of Ising or voter type.