A framework for imperfectly observed networks
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SNAW01  Graph limits and statistics
Model a network as an edgeweighted graph, where the (unknown) weight $w_e$ of edge $e$ indicates the frequency of observed interactions, that is over time $t$ we observe a Poisson($t w_e$) number of interactions across edges $e$. How should we estimate some given statistic of the underlying network? This leads to wideranging and challenging problems.
This talk is part of the Isaac Newton Institute Seminar Series series.
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