A Preliminary Look at Accuracy in Egonets

I assess the extent that the egonet method of collecting data permits accurate inferences to the true structural features of the network. This inference problem has three critical components: local-global inference error, ego distortion, and feature inference error. Analysis of four data sets indicates that structural features can be predicted by estimates generated from egonets in some instances, but more often than not they are not good predictors.