The company we keep. Using hemodialysis social network data to classify patients’ kidney transplant attitudes with machine learning algorithms

Table 2 Network statistics of each clinic

Table 2 shows the network statistics of each clinic. Nodes are the number of connected participants in each network. Edges are the number of relationships between the participants. Average degree is the average number of relationships each participant and is weighted for the strength of the relationship with 1 being the strongest relationship to 0.1 the weakest relationship. Network diameter is the maximum distance (number of relationships) between two participants in the network. Graph density is the total number of observed relationships divided by the total possible relationships. Connected components is the number of unique connected networks within in the facilities. Average (Avg.) clustering coefficient is the proportion of relationships among each network members local network. Average (Avg.) path length is the average number of relationships that a network member is connected to any of the other network members (also known as “Degrees of Separation”)

ISSN: 1471-2369