Data Driven Modeling Inference and Control of Complex Time Varying Networks- A Statistical Physics Approach
Abstract
The scope of this effort is to develop a data-driven framework for causal analysis, inference, and control of time-varying complex networks (CNs) from limited or with missing information.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 06, 2022
- Source ID
- N660011714044
Entities
People
- Paul Bogdan
Organizations
- Defense Advanced Research Projects Agency
- Naval Information Warfare Center Pacific
- University of Southern California