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Table 1 Network discrimination performance of DynaMAGNA++, DynaWAVE and Twadn. For biological synthetic networks, with respect to the area under the precision-recall curve (AUPR), F-score at which precision and recall cross and are thus equal (F-score cross), maximum F-score (F-score max), and the area under the ROC curve (AUROC). In each column, the best score is bolded

From: Twadn: an efficient alignment algorithm based on time warping for pairwise dynamic networks

algorithm

AUPR

F-score cross

F-score max

AUROC

DynaMAGNA++

0.467

0.489

0.642

0.507

DynaWAVE

0.600

0.556

0.642

0.594

Twadn

0.653

0.589

0.735

0.718