Unknown

Dataset Information

Prevalence and scalable control of localized networks.


ABSTRACT: The ability to control network dynamics is essential for ensuring desirable functionality of many technological, biological, and social systems. Such systems often consist of a large number of network elements, and controlling large-scale networks remains challenging because the computation and communication requirements increase prohibitively fast with network size. Here, we introduce a notion of network locality that can be exploited to make the control of networks scalable, even when the dynamics are nonlinear. We show that network locality is captured by an information metric and is almost universally observed across real and model networks. In localized networks, the optimal control actions and system responses are both shown to be necessarily concentrated in small neighborhood

SUBMITTER: Duan C 

PROVIDER: S-EPMC9371654 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature