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Found 4 papers, 3 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.
Role action embeddings: scalable representation of network positions
It combines a within-node loss function and a graph neural network (GNN) architecture to place nodes with similar local neighborhoods close in embedding space.
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
Discussion quality diffuses in the digital public square
We find that the social feedback condition results in higher quality viewed comments and response comments.
