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Table 8 The linear fitting parameters \(\alpha\) and c for power-law distribution

From: ModularBoost: an efficient network inference algorithm based on module decomposition

DREAM5 Network \(\alpha\) c
E. coli Gold standard 1.225 \(-\)2.064
ModularBoost 1.466 \(-\)0.956
Ridge 1.418 \(-\)0.733
Yeast Gold standard 1.226 \(-\)2.381
ModularBoost 1.397 \(-\)0.940
Ridge 1.280 \(-\)1.030
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