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Analysis of Networks with Missing Data with Application to the National Longitudinal Study of Adolescent Health

It is common in the analysis of social network data to assume a census of the networked population of interest. Often the observations are subject to partial observation due to a known sampling or unknown missing data mechanism. However, most …

Model-based Assessment of the Impact of Missing Data on Inference for Networks

Most inference using social network models assumes that the presence or absence of all relations is known. This is rarely the case. Most social network analysis ignores the problem of missing data by including only actors with complete observations. …