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Link prediction for egocentrically sampled networks
Link prediction in networks is typically accomplished by estimating or ranking the probabilities of edges for all pairs of nodes.
Generalized linear models with low rank effects for network data
Networks are a useful representation for data on connections between units of interests, but the observed connections are often noisy and/or include missing values.
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