Fig. 7

Ranking of hypotheses for Kenya contact network. a Shows the adjacency matrix of the network with node ordering according to household membership. Darker cells indicate more contacts. b, c Display the ranking of hypotheses based on Bayes factors, using the uniform hypothesis as baseline for the local and global model respectively. Using the local model b the same household hypothesis ranks highest followed by the similar age hypothesis which also provides positive Bayes Factors. On the other hand, the same and different gender hypotheses are less plausible than the baseline (uniform edge formation) in both the local and global case. In the global case c all hypotheses are bad representations of edge formation in the Kenya contact network. This is due to the fact that interactions are very sparse, even within households. Results are consistent for all κ