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Fig. 8 | Applied Network Science

Fig. 8

From: Probabilistic network sparsification with ego betweenness

Fig. 8

Required number of samples to calculate measures over sparsified graphs with errors lower than a specific threshold: ac The original graph is Erdős–Rényi with \(\rho = 0.1\). The sparsification ratio is \(\alpha = 0.45\) and backboning method the maximum spanning tree method, df the original graph is the brain network, sparsification ratio is \(\alpha = 0.55\) and the backboning method is the noise corrected method

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