Table 3 Performance comparison of link prediction methods in fuzzy robotic networks (mean ± standard deviation over 10 runs).

From: Prominence-guided link prediction in fuzzy robotic networks

Method

Precision

AUC

AUP

SP Index (proposed)

0.88 ± 0.01

0.91 ± 0.01

0.85 ± 0.02

Common neighbors

0.71 ± 0.02

0.68 ± 0.02

0.65 ± 0.02

Jaccard Index

0.70 ± 0.02

0.66 ± 0.02

0.62 ± 0.02

Adamic–Adar Index

0.73 ± 0.02

0.69 ± 0.02

0.64 ± 0.02

Resource Strength Model

0.79 ± 0.02

0.83 ± 0.02

0.78 ± 0.02

CAR Index

0.75 ± 0.02

0.80 ± 0.02

0.76 ± 0.02

  1. Results are reported as mean \(\pm\) standard deviation over ten independent runs. Best values in each column are highlighted in bold. The improvements of the SP index over the next-best baseline in AUC and AUP are statistically significant at the \(p<0.01\) level (paired tests).