Spatial autocorrelation is a parameter of importance for network data analysis. To estimate spatial autocorrelation, maximum likelihood has been popularly used. However, its rigorous implementation requires the whole network to be observed. This is practically infeasible if network size is huge...

Researchers typically encounter missing data in practice and have developed various imputation methods. However, the existing methods are mainly developed for independent data and the assumption of independence disregards the connections of units through various social relationships (e.g.,...