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Preserving friendships in school contacts: An algorithm to construct synthetic temporal networks for epidemic modelling

Fig 5

Pairwise comparisons of simulated infection networks between students and classes.

(A) Distributions over all seeds of the global cosine similarities are shown for infection networks obtained from pairs of contact sequences ct_a and ct_b in “Friendship 2d”, “Friendship 3d” and “Friendship 4d” for infection networks between students. (B) Distributions of over all seeds s for different sequences ct_b (class-mixing-based and looped contacts) with ct_a fixed to “Friendship 2d” for infection networks between students. (C) Same as (B) with ct_a fixed to “Friendship 4d”. (D) Same as (A) for infection networks between classes. (E) Same as (B) for infection networks between classes. (F) Same as (C) for infection networks between classes. For each contact sequence, infection networks are obtained from 150 simulations for each seed, and each of the 325 students are successively considered as seed s.

doi: https://doi.org/10.1371/journal.pcbi.1012661.g005