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Fig. 9 | Applied Network Science

Fig. 9

From: Probabilistic network sparsification with ego betweenness

Fig. 9

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. ac Erdős–Rényi network with density \(\rho = 0.1\) and MST/MC backbone (\(\alpha ' = 0.5 \alpha\)), and df the brain network with noise corrected backbone

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