30 citations · 85 across the 8 of their papers we have counts for
10 papers
Spectral clustering of time-evolving networks using spatio-temporal random walks
Filip Blašković, Tim O. F. Conrad, Stefan Klus +1
Temporal (or time-evolving) networks provide a natural framework for modeling complex systems with time-dependent interactions, where understanding the evolution of community struc…
Opinion Dynamics over Migration Networks
Lőrinc Márton, Stefanie Winkelmann, Mauricio J. del Razo +1
Opinions play a crucial role in shaping collective phenomena such as political polarization, cultural integration and demographic change. By continuously changing social environmen…
On reduced inertial PDE models for Cucker-Smale flocking dynamics
Sebastian Zimper, Federico Cornalba, Nataša Djurdjevac Conrad +1
In particle systems, flocking refers to the phenomenon where particles' individual velocities eventually align. The Cucker-Smale model is a well-known mathematical framework that d…
Koopman-Based Surrogate Models for Multi-Objective Optimization of Agent-Based Systems
Jan-Hendrik Niemann, Stefan Klus, Nataša Djurdjevac Conrad +1
Agent-based models (ABMs) provide an intuitive and powerful framework for studying social dynamics by modeling the interactions of individuals from the perspective of each individu…
Multilevel Optimization for Policy Design with Agent-Based Epidemic Models
Jan-Hendrik Niemann, Samuel Uram, Sarah Wolf +2
Epidemiological models can not only be used to forecast the course of a pandemic like COVID-19, but also to propose and design non-pharmaceutical interventions such as school and w…
Feedback Loops in Opinion Dynamics of Agent-Based Models with Multiplicative Noise
Natasa Djurdjevac Conrad, Jonas Köppl, Ana Djurdjevac
We introduce an agent-based model for co-evolving opinion and social dynamics, under the influence of multiplicative noise. In this model, every agent is characterized by a positio…
Mathematical modeling of spatio-temporal population dynamics and application to epidemic spreading
Stefanie Winkelmann, Johannes Zonker, Christof Schütte +1
Agent based models (ABMs) are a useful tool for modeling spatio-temporal population dynamics, where many details can be included in the model description. Their computational cost…
From interacting agents to density-based modeling with stochastic PDEs
Luzie Helfmann, Natasa Djurdjevac Conrad, Ana Djurdjevac +2
Many real-world processes can naturally be modeled as systems of interacting agents. However, the long-term simulation of such agent-based models is often intractable when the syst…
Modularity of Directed Networks: Cycle Decomposition Approach
Natasa Djurdjevac Conrad, Ralf Banisch, Christof Schütte
The problem of decomposing networks into modules (or clusters) has gained much attention in recent years, as it can account for a coarse-grained description of complex systems, oft…
Cycle flow based module detection in directed recurrence networks
Ralf Banisch, Nataša Djurdjevac Conrad
We present a new cycle flow based method for finding fuzzy partitions of weighted directed networks coming from time series data. We show that this method overcomes essential probl…