Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations
通过推断潜在位置估计同质性社会网络中的因果同伴影响
Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore its behavior. If the network grows according to either a latent community (stochastic block) model, or a continuous latent space model, then latent homophilous attributes can be consistently estimated from the global…