Table 3 The importance of 12 topological attributes values in the classifying process.

From: Aberrant topology of white matter networks in patients with methamphetamine dependence and its application in support vector machine-based classification

Topological attributes

Weights

Hubness (left superior parietal lobule caudal area)

0.215

Hubness (right precentral gyrus head and face region)

0.273

Hubness (right caudal lingual gyrus)

0.329

Hubness (right medial superior occipital gyrus)

0.0498

Hubness (right medial superior frontal gyrus)

0.136

Hubness (left inferior parietal lobule caudal area)

0.312

Hubness (left dorsal dysgranular insula)

0.14

Hubness (right occipital polar cortex)

0.2466

Hubness (right precentral gyrus tongue and larynx region)

0.258

Hubness (right inferior frontal gyrus caudal area)

0.2137

Hubness (right inferior parietal lobule caudal area)

0.044

Hubness (left dorsomedial parietooccipital sulcus)

0.4139

  1. Hub (i) = weighted hub of node I; Weights = the importance of topological attributes.