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
• 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

References

SHOWING 1-10 OF 31 REFERENCES
Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks
• Computer Science, Medicine
• Proceedings of the National Academy of Sciences
• 2009
Sensitivity Analysis for Contagion Effects in Social Networks
Community structure in social and biological networks
• Physics, Computer Science
• Proceedings of the National Academy of Sciences of the United States of America
• 2002