AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A Bayesian framework for model comparison of second-order Langevin dynamics from position-only trajectories is developed by combining exact increment likelihoods for linear Gaussian models with a previously proposed approximate likelihood for nonlinear dynamics.
Anticipating the onset of collective synchronization is important in many networked systems, yet observing every oscillator is often impractical. We investigate whether synchronization transitions can be detected from a small set of monitored, or sentinel, nodes. Using a stochastic Kuramoto model on networks, we numeri...
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