activity
20222026
most citedExtreme events in a complex network: interplay between degree distribution and repulsive interaction

27 citations · 33 across the 4 of their papers we have counts for

collaborators

5 papers

nlin.CD2026

Ordinal-pattern transition networks as a symbolic substrate for reservoir computing

Max Potratzki, Thomas G. de Jong, Michael Small +1

Reservoir computing has established itself as a computationally efficient alternative to fully trained recurrent neural networks using a fixed high-dimensional nonlinear substrate…

nlin.CD2026

Complex network topological and spectral determinants of extreme events

Christian Hechler, Timo Bröhl, Ulrike Feudel +1

We study the impact of the coupling topology on the ability of various networked dynamical systems to generate extreme events. By determining the coupling strength that is necessar…

physics.soc-ph2024

Synchronization dynamics of phase oscillators on power grid models

Max Potratzki, Timo Bröhl, Thorsten Rings +1

We investigate topological and spectral properties of models of European and US-American power grids and of paradigmatic network models as well as their implications for the synchr…

physics.soc-ph2023★ 6 cited

A perturbation-based approach to identifying potentially superfluous network constituents

Timo Bröhl, Klaus Lehnertz

Constructing networks from empirical time series data is often faced with the as yet unsolved issue of how to avoid potentially superfluous network constituents. Such constituents…

physics.soc-ph2022★ 27 cited

Extreme events in a complex network: interplay between degree distribution and repulsive interaction

Arnob Ray, Timo Bröhl, Arindam Mishra +5

The role of topological heterogeneity in the origin of extreme events in a network is investigated here. The dynamics of the oscillators associated with the nodes are assumed to be…