Guest: Deniz Eroglu, Kadir Has University

Title: Network Dynamics Reconstruction from Data: Emergent Hypergraphs and Critical Transitions to Synchronization

Date/Time: April 3, 2024, 13:40 - 14:30

Location: FENS G035

Title: Network Dynamics Reconstruction from Data: Emergent Hypergraphs and Critical Transitions to Synchronization

Abstract: Complex systems consist of many interconnected components organized as networks. Moreover, the structure of such networks may evolve by their intrinsic rhythms. Our understanding of dynamical complex systems relies on our ability to infer appropriate models from observations. In this talk, we discuss how to learn equations of motion from observational data that underlie evolution and why the recovered dynamics contain higher-order edges, although they are not initially in the model. The results provide a necessary starting point to predict and control the network dynamics.

Bio: Deniz Eroğlu pursued doctoral studies in theoretical physics at Humboldt University Berlin. After completing postdoctoral fellowships at the Mathematics Department of Imperial College and the Physics Department at Northwestern University, he joined Kadir Has University in February 2019. With a broad and multidisciplinary research focus, his interests encompass complex systems, network theory, and data science. Currently, he conducts research within the 'Network-Oriented Dynamics and Data Science' interdisciplinary research group.