4 papers · 1 filter
Estimating peer effects in noisy, low-rank networks via network smoothing
Alex Hayes, Keith Levin
Peer effect estimation requires precise network measurement, yet most empirical networks are noisy, rendering standard estimators inconsistent. To address measurement error in netw…
Minimax rates for the linear-in-means model reveal an identifiability-estimability gap
Alex Hayes, Keith Levin
The linear-in-means model is widely used to study peer influence in social networks. We consider estimation in the linear-in-means model when a randomized treatment is applied to n…
Estimating network-mediated causal effects via principal components network regression
Alex Hayes, Mark M. Fredrickson, Keith Levin
We develop a method to decompose causal effects on a social network into an indirect effect mediated by the network, and a direct effect independent of the social network. To handl…
Testing for Repeated Motifs and Hierarchical Structure in Stochastic Blockmodels
Al-Fahad Al-Qadhi, Keith Levin, Vincent Lyzinski
The rise in complexity of network data in neuroscience, social networks, and protein-protein interaction networks has been accompanied by several efforts to model and understand th…