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Found 2 papers, 2 papers with code
Going beyond accuracy: estimating homophily in social networks using predictions
While this paper focuses on homophily, results generalize to other relational measures which aggregate predictions along the dyads in a network.
Estimating group properties in online social networks with a classifier
This is a three step procedure which entails: 1) walking the graph starting from an arbitrary node; 2) learning a classifier on the nodes in the walk; and 3) applying a post-hoc adjustment to classification labels.
Social and Information Networks
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