Corpus ID: 12784656

# Controlling for Latent Homophily in Social Networks through Inferring Latent Locations

@article{Shalizi2016ControllingFL,
title={Controlling for Latent Homophily in Social Networks through Inferring Latent Locations},
author={C. Shalizi and Edward McFowland},
journal={ArXiv},
year={2016},
volume={abs/1607.06565}
}
• Published 2016
• Mathematics, Computer Science, Physics
• ArXiv
Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, i.e., with a node's network partners being informative about the node's attributes and therefore its behavior. We show that {\em if} the network grows according to either a community (stochastic block) model, or a continuous latent space model, then latent homophilous attributes can be consistently estimated from the global pattern of… Expand
3 Citations

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