Extended Data Fig. 2: Network weighting types and network properties.
From: Using a real-world network to model localized COVID-19 control strategies

Similarity between the focal weighted network (weighted by number of days seen together) with the other potential weighting options specified here as ‘binary’ (whether or not individuals had social contact over the three day period), ‘daily transform’ (sum of 1 – econtacts calculated for each day, where contacts = 5 min interval together each day), ‘all transform’ (1 – econtacts where contacts = 5 min interval together over all of the time period), ‘SRI’ (the ‘Simple Ratio Index’ that is using the number of 5 min intervals each dyad was seen together but correcting for the amount of 5 min intervals both members of the dyad were seen in total), ‘raw count’ (the number of 5 min intervals each dyad was seen together), ‘rank count’ (the ranked number of 5 min intervals each dyad was seen together). We calculated the network correlations (from 468 individuals) in dyadic social associations scores using two-sided Mantel tests (where ‘Dyadic bonds’ shows Pearson correlation and ‘Ranked bonds’ shows Spearman correlation), as well as the two-sided correlation in the 468 individuals’ network metrics in terms of their average bond strength to all those they held an edge to (where ‘Dyadic Average’ shows Pearson correlation and ‘Ranked Average’ shows Spearman correlation). The points show the correlation coefficient and the vertical lines show the 95% confidence intervals (derived from bootstrapping the data 10,000 times) around this estimate.