Fig. 3
From: Structural inequalities emerging from a large wire transfers network
Correlation scatter plots matrix: Mutual correlations between regional GDP, incoming/outgoing wire transfers number, and incoming/outgoing wire transfers total amount, all grouped by regions, are very high. Wire transfers number correlates better with GDP, also because wire transfers total amount exhibits some peculiar outliers (such as Lazio) that behave differently along the distributions. Notice that all the p-values are much lower than 10−4. On the diagonal the plots for GDP, sent/received transfers (number and amount) reveal big inequalities between regions. Values have been normalised according to the maximum value (Lombardy) while on the x-axis regions follow the order shown in the legend. Please observe that due to the bank’s policy, we cannot show the actual values of wire transfers numbers and amounts, but only their normalisation