
Max correlation

Max pvalue

Pearson correlation

Spearman correlation

Pearson pvalue (G)

Spearman pvalue (G)

Pearson pvalue (DP)

Spearman pvalue (DP)


Powerlaw

−0.954

0.002

−0.954

−0.941

0.001

0.003

0.002

0.004

LCPcorr

0.949

0.012

0.908

0.949

0.012

0.012

0.010

0.010

SWomega

0.899

0.009

0.899

0.823

0.007

0.007

0.009

0.005

Char Path

−0.898

0.012

−0.887

−0.898

0.009

0.012

0.012

0.009

EBC

−0.898

0.013

−0.884

−0.898

0.009

0.013

0.012

0.011

Closeness

−0.891

0.017

−0.872

−0.891

0.013

0.017

0.010

0.013

Efficiency

−0.827

0.045

−0.793

−0.827

0.042

0.045

0.046

0.041

Modularity

−0.774

0.072

−0.743

−0.774

0.067

0.070

0.080

0.072

BC

−0.690

0.108

−0.689

−0.690

0.083

0.108

0.077

0.105

Radiality

0.446

0.334

0.391

0.446

0.344

0.330

0.349

0.334

Clustering

−0.410

0.484

−0.305

−0.410

0.474

0.469

0.481

0.484

Struc Cons

−0.238

0.658

−0.169

−0.238

0.661

0.658

0.644

0.642

Avg Deg

−0.083

0.977

−0.002

−0.083

0.983

0.971

0.964

0.977

SWsigma

−0.041

0.984

0.012

−0.041

0.988

0.978

0.981

0.984

 For each topological measure, both the Pearson and the Spearman correlation computed with the Von Frey test are reported. For each of the two correlations, the pvalue of the statistical test is shown for highlighting the significance of the correlation. The pvalues suffixes G and DP refer respectively to the first (Gaussian white noise) and second (distributionpreserving) nullmodels. The first two columns are intended to summarize the results: “Max correlation” reports the best among the two correlations between Pearson and Spearman, whereas “Max pvalue” indicates, for that correlation, the maximum between the two pvalues obtained with the two nullmodels (in order to be more conservative). The significant pvalues in this column, considering a confidence level of 0.05, are highlighted in bold