Data-driven Modeling and Inference for High-order Models on Networks
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This project investigates how coupled processes evolve on complex networks, which is a fundamental question with broad significance across science and engineering. Such systems are central to varied fields, including epidemiology, social science, power grids, traffic flow, and statistical physics. In these systems, individual components (nodes)…
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