An algorithm to build synthetic temporal contact networks based on close-proximity interactions data
Fig 3
Comparison of network characteristics.
The reconstructed networks with observation bias exclude individuals from the network at times when they were known to not wear their sensors. The random networks did not take into account the ward-level structure of the contacts or the probability of recurring contacts. Boxplots for the observed network show the distribution of values calculated for each day. Boxplots for all reconstructed and random networks show the distribution of the median values calculated for each day across 100 networks. The distributions were compared using Wilcoxon tests with Bonferroni correction. ns: not significant; *: p < 0.05; **: p < 0.01; ***: p < 0.001.