Variable Selection for High-dimensional Nodal Attributes in Social Networks with Degree Heterogeneity
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We consider a class of network models, in which the connection probability depends on ultrahigh-dimensional nodal covariates (homophily) and node-specific popularity (degree heterogeneity). A Bayesian method is proposed to select nodal features in both dense a... ...
