Control of Networks
Detecting underlying control principles of complex systems
We are working on a number of studies that develop mathematical and theoretical models for understanding internal control mechanisms for complex self-organized systems. One can control the behavior of a large network by taking control actions on a comparatively small number of nodes because the network structure broadcasts the influence of these "driver nodes" to distant parts of the network. These findings have tremendous implications for designing, disrupting, or facilitating system capabilities, including physical systems (e.g., climate change and resilience of habitats), technological systems, and biological systems.