Recovering Network Structure from Aggregated Relational Data using Penalized Regression

16 Jan 2020Hossein AlidaeeEric AuerbachMichael P. Leung

Social network data can be expensive to collect. Breza et al. (2017) propose aggregated relational data (ARD) as a low-cost substitute that can be used to recover the structure of a latent social network when it is generated by a specific parametric random effects model... (read more)

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