. 2017 Dec 1;1(4):446–467. doi: 10.1162/NETN_a_00025

Table 3. . Linear correlation coefficients, r, for unweighted and weighted graph metric rank consistency using varying atlas scales (with SC 10⁶ and D2 fixed). These correlation coefficients are derived from the Pearson correlation tests similar to Figures 5A and 5B, which measures how the rank of a subject would change in the population metric distribution when atlas scale is altered. All of the correlation coefficients reported have a corresponding p-value less than 0.01. In each entry, the first coefficient corresponds to the unweighted metric, and the second one corresponds to the weighted metric. With all three metrics, it is evident that the more the atlas scale is changed, the more the rank of a network changes. Different metrics are affected by scale changes differently. Clustering coefficient rank is the most unstable, while modularity rank is the most robust against atlas change. In addition, the relative ranks of weighted metrics tend to be affected more by atlas scales than unweighted metrics. Overall, these correlation coefficients illustrate that individuals are affected by atlas scale change differently.