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Publication
DSW 2019
Conference paper
Generalized Jordan Center: A Source Localization Heuristic for Noisy and Incomplete Observations
Abstract
We consider estimating the source of a spreading process on a directed acyclic graph using noisy and incomplete observations; we believe this is the first work on source estimation under noisy information. Our main contribution is a novel heuristic, the generalized Jordan center (GJC), which is the maximum likelihood estimator of the diffusion source under mild conditions.