Networks of necessity: Simulating COVID-19 mitigation strategies for disabled people and their caregivers
Fig 5
Characterization of centrality measures of subpopulations in the networks on which we run our stochastic model of COVID-19 spread.
The violin plots depict empirical probability densities. The initial situation, for which we show day 43 of one simulation, has no contact-limiting. The distanced situation, for which we show day 45 of the same simulation, has contact-limiting in all subpopulations. For each subpopulation, we calculate the distributions of (A) the number of neighbors (i.e., direct contacts), (B) the number of second neighbors (i.e., contacts of contacts), (C) the strength (i.e., total edge weight) of the contacts with neighbors, and (D) eigenvector centrality.