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We revisit the problem of inferring the source of a rumor on a network, given a snapshot of the extent of its spread. We differ from prior work in two aspects: We consider settings where additional relative information about the infection times of a fraction of node pairs is also available to the estimator and instead of only considering the most likely spreading pattern, we take a complementary approach...
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