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.
P.I.: Ernesto Estrada, Ingo Fischer, Emilio Hernández-García, Rosa Lopez, Víctor M. Eguíluz, Claudio Mirasso, Jose Javier Ramasco, Raúl Toral, Roberta Zambrini
After 15 years of its existence, IFISC can point to a proven track record of impactful research. The previous 2018-2022 MdM award has significantly enhanced the institute's capabilities, as demonstrated by an ...