Dynamics and Control of Data-Driven Networks

PI: Claudio Altafini (LiU). Co-PIs: Anders Rantzer (LU), Erik G. Larsson (LiU).

The overall goal of this project is to interface control systems and network science methodology, with the purpose of investigating the following specific topics:

  1. developing network-level graph learning approaches from big data;
  2. predicting emerging global dynamical properties (e.g. “opinion” formation, polarization, clustering, etc.) on the resulting networks;
  3. designing network control algorithms.

The project is in the focus theme Big Data and Network Science of the ELLIIT 2030 Technology Foresight. The requested funding is meant to cover a 2-year postdoctoral position.

Project number: A5