Overview of absolute differences between true and recovered network characteristics of shrinkage (blue), ridge (orange), and lasso (green) estimated partial correlations, and of pairwise correlations (red), in the condition where the correct number of edges is selected.

For node characteristics (i.e., degree, strength, and betweenness), sums of absolute differences of linearly transformed variables x* are shown (

x*

=

(x−Min(truevariable))

(Max(truevariable)−Min(truevariable))

; i.e., 0 was mapped on the minimum of the true variable, and 1 was mapped on the maximum of the true value). SWI = Small-worldness index, CC = Clustering coefficient, APL = Average path length, #Comp = Number of components, n = Number of observations. NB: x-axis on logarithmic scale; if absolute difference is zero, the method’s symbol is not shown.