We examine the balance score of 300 Italian health care providers (HCPs), using the data to build a network. In such network, nodes are HCPs, and each pair of them is connected by an arc whose weight is related to the cross-correlation coefficient between the corresponding HCPs balance scores. By connecting all the vertices through the most correlated link, without forming any loop, we have obtained the Minimum Spanning Tree (MST) on data. We were then able to provide a quite unusual representation of the overall financial situation of Italian HCPs. Our major findings include: (i) an original representation of the relations among various HCPs; (ii) the emergence of HCPs patterns: HCPs tend to cluster according to shared accounting and financial features; and hence (iii) the evidence that a global representation of the financial situation of HFs generates information that can be of help to policy makers, in order to realize a more efficient allocation of financial resources among the existing HCPs.
We examine the balance score of 300 Italian health care providers (HCPs), using the data to build a network. In such network, nodes are HCPs, and each pair of them is connected by an arc whose weight is related to the cross-correlation coefficient between the corresponding HCPs balance scores. By connecting all the vertices through the most correlated link, without forming any loop, we have obtained the Minimum Spanning Tree (MST) on data. We were then able to provide a quite unusual representation of the overall financial situation of Italian HCPs. Our major findings include: (i) an original representation of the relations among various HCPs; (ii) the emergence of HCPs patterns: HCPs tend to cluster according to shared accounting and financial features; and hence (iii) the evidence that a global representation of the financial situation of HFs generates information that can be of help to policy makers, in order to realize a more efficient allocation of financial resources among the existing HCPs.
An analysis of the financial statements of Italian health care providers through correlation-based networks
RESTA, MARINA
2012-01-01
Abstract
We examine the balance score of 300 Italian health care providers (HCPs), using the data to build a network. In such network, nodes are HCPs, and each pair of them is connected by an arc whose weight is related to the cross-correlation coefficient between the corresponding HCPs balance scores. By connecting all the vertices through the most correlated link, without forming any loop, we have obtained the Minimum Spanning Tree (MST) on data. We were then able to provide a quite unusual representation of the overall financial situation of Italian HCPs. Our major findings include: (i) an original representation of the relations among various HCPs; (ii) the emergence of HCPs patterns: HCPs tend to cluster according to shared accounting and financial features; and hence (iii) the evidence that a global representation of the financial situation of HFs generates information that can be of help to policy makers, in order to realize a more efficient allocation of financial resources among the existing HCPs.
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