Reconstructing parameters of spreading models from partial observations

NeurIPS 2016 Andrey Y. Lokhov

Spreading processes are often modelled as a stochastic dynamics occurring on top of a given network with edge weights corresponding to the transmission probabilities. Knowledge of veracious transmission probabilities is essential for prediction, optimization, and control of diffusion dynamics... (read more)

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