Fig. 9
From: Probabilistic network sparsification with ego betweenness
Error of calculation of measures over sparsified graphs with 1000 samples: In all figures the y-axis shows the difference between the value of measures in the original graphs and the estimated value (over 1000 samples) in the sparsified graphs. The x-axis shows sparsification ratios. a–c Erdős–Rényi network with density \(\rho = 0.1\) and MST/MC backbone (\(\alpha ' = 0.5 \alpha\)), and d–f the brain network with noise corrected backbone