Fig. S5.

Small-world network characteristics and discrete exponential distribution of node degree is insensitive to selected MIC threshold. Threshold was altered for each SCN to yield an average node degree of ∼2.5 (A–C) and 6.5 (D–F). (A and D) Average path length remains on the same order of magnitude as that of an equivalent random network (99% CI taken from 10,000 randomly generated networks). (B and E) Average clustering coefficient remains an order of magnitude higher than that of an equivalent randomly generated network, confirming small-worldness. (D and F) Node degree distribution remains exponential for average node degrees of 2.5 and 6.5. As in Fig. 4, the resulting discrete exponential distributions $P\left(k\right)=C\exp \left(-\text{λ}k\right)$ were fit via numerical optimization of the maximum likelihood, resulting in distribution parameters λ for each network. Each SCN is better fit by a discrete exponential distribution than a discrete power law distribution (likelihood-ratio test, $P<0.0005$ for each SCN). SCN3 lacks sufficient resolution to lower node degree below $\sim$ 4.0, and therefore shows slight deviation in λ for low average node degree.