Rather than comparing all the disease connections, which would be computationally intensive, we applied the community-detection method in Gephi to the DDN in order to find subnetworks algorithmically. The method found nine communities; as shown in Figure 5, the number of diseases in each community varied between clusters of 2 and 102.
Figure 5 Disease Communities
The plot shows the distribution of community disease connections, which were identified by community detection. The x axis shows the total number of communities identified, and the y axis shows the number of disease nodes in each community.