These LBMs could be identified based on the number of visits by traders also operating in other LBMs. Indeed, a generalized additive model (GAM) (34, 35) with degree as predictor explained a high proportion of the null deviance for both susceptibility (0.53–0.69, depending on parameter values) and infectiousness (0.46–0.76). Similar results were obtained with closeness as
a predictor (susceptibility, 0.70–0.73; infectiousness, 0.50–0.74), whereas GAMs with betweenness as a predictor explained less than 0.20 and 0.32 of the null deviance for susceptibility and infectiousness, respectively