Embedding epidemic contact networks via Johnson-Lindenstrauss projections allows estimating the infection source as the node nearest the centroid of infected nodes, achieving meaningful accuracy in simulations on Erdős-Rényi graphs.
Community Detection and Stochastic Block Models: Recent Developments
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Finding Patient Zero via Low-Dimensional Geometric Embeddings
Embedding epidemic contact networks via Johnson-Lindenstrauss projections allows estimating the infection source as the node nearest the centroid of infected nodes, achieving meaningful accuracy in simulations on Erdős-Rényi graphs.