Article Figures & Data
Figures
- Figure 1.
The number of patients with k total seclusions is a rapidly decaying curve, wherein multiple small events coexist with a few relatively large events: 207 patients required 1 SRE, while one patient required 310 SREs (34 times the mean). In contrast to a normal, or bell-shaped, distribution, there was no peak at an average or typical value, and the distribution was highly right-skewed, denoting the existence of hubs.
- Figure 2.
A double-logarithmic cumulative plot, p(k) ≥ k of the data (circles). The accompanying line shows the best-fit power-law function in the form p(k) = Ck−a for the distribution between a minimum of one to a maximum of 310 SREs.
- Figure 3.
Illustration of how the estimated power-law function slope exponent a changes up to a maximum of 100 SREs when fitting the slope via a maximum-likelihood procedure, with bootstrapping for 95 percent confidence intervals. As it deviates from a straight line, a power-law type of heavy distribution is ruled out; a stretched-exponential function may better account for the data.
