Table 8 Pearson’s, Spearman’s, and Kendall’s correlation coefficient between dangling centrality and 5 popular centrality metrics.
From: Dangling centrality highlights critical nodes by evaluating network stability through link removal
Small Dataset | Centrality Metrics | DC | BC | CC | EVC | KC | |
|---|---|---|---|---|---|---|---|
Pearson’s Correlation Coefficient | 5 nodes graph | Dangling Centrality \({{\prime}\varnothing }_{c}{\prime}\) | 0.8758113 | 0.9671900 | 0.9803829 | 0.5968716 | 0.8754605 |
6 nodes graph | 0.9897783 | 0.8882636 | 0.9911944 | 0.9566603 | 0.9897083 | ||
Spearman’s Correlation Coefficient | 5 nodes graph | 0.9176629 | 0.9176629 | 1.0000000 | 0.6842105 | 0.6842105 | |
6 nodes graph | 0.9534626 | 1.0000000 | 0.9534626 | 0.8060599 | 0.8181818 | ||
Kendall’s Correlation Coefficient | 5 nodes graph | 0.8819171 | 0.8819171 | 1.0000000 | 0.5555556 | 0.5555556 | |
6 nodes graph | 0.9198662 | 1.0000000 | 0.9198662 | 0.6671244 | 0.6923077 |
