2.3. Social network learning - Probabilistic relational neighbor classifier

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set.seed(100)

net <- network(PadelNetwork,matrix.type="edgelist", directed = FALSE)
adjacency <- as.sociomatrix(net)

preds <- c(0.66, 0.85, 0.77, 0.89, 0.56, 0.61, 0.71, 0.42, 0.40, 0.30)
...

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