Each of these metrics was calculated for each proposed edge in the test set for each of the years used during the SBM testing. It was then assumed that the edges in the test set scoring highest on the relevant similarity metrics were most probable to represent missing edges. The procedure was repeated four times and the mean of the values was plotted with the standard deviation taken as estimate of the error.