Table II.

The modularity and degree of nestedness for the top three most frequent cancer types in the dataset. In all cases the modularity is very low (indicating that there exists no symptom clusters), and significantly higher degree of nestedness compared to 1000 random networks of the same size and symptom degree distribution.

Cancer Type (number of patients)	Modularity	Degree of Nestedness
		Number of edits required for block diagram (generated from the real network) to be perfectly nested	Mean number of edits required for block diagrams (generated from 1000 random networks) to be perfectly nested	Significant difference between real network and random networks
Breast (n=231)	0.068	17	232.5	p=0
Lung (n=112)	0.072	66	204.6	p=0.007
Colon (n=79)	0.074	58	235.9	p=0