For large dense weighted SIS networks, prediction of epidemic curves is uniformly stable under trajectory-fitting error, while network reconstruction is provably non-identifiable in the cut norm.
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Why is it easier to predict the epidemic curve than to reconstruct the underlying contact network?
For large dense weighted SIS networks, prediction of epidemic curves is uniformly stable under trajectory-fitting error, while network reconstruction is provably non-identifiable in the cut norm.