activity
20192026
most citedFrom interacting agents to density-based modeling with stochastic PDEs

30 citations · 45 across the 5 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2026

Clustering in co-evolving opinion dynamics: reduced SPDE models

Sebastian Zimper, Nataša Djurdjevac Conrad, Federico Cornalba +1

Clustering is a fundamental collective phenomenon in agent-based models (ABMs) of opinion dynamics. To study clustering in systems with co-evolving social and opinion variables, we…

math.OC2025

Mean-field optimal control with stochastic leaders

Sebastian Zimper, Ana Djurdjevac, Carsten Hartmann +2

We consider interacting agent systems with a large number of stochastic agents influenced by a fixed number of external stochastic lead agents. Such settings arise, for example in…

math.AP2024★ 1 cited

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…

math.DS2022★ 14 cited

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…

math.DS2019★ 30 cited

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…