Selected article for: "contact structure and homogeneous mixing model"
Author: Liu, Quan-Hui; Ajelli, Marco; Aleta, Alberto; Merler, Stefano; Moreno, Yamir; Vespignani, Alessandro
Title: Measurability of the epidemic reproduction number in data-driven contact networks
  • Document date: 2018_12_11
    • ID: 2eity73e_84
    Snippet: Details on the implementation of these models are reported in Sec. 1.2, 1.4, and 1.5 of this Supplementary Material file. Our analysis of R(t) reveals that the annealed configuration model and the layer-shuffled model exhibit behavior very close to the homogeneous mixing model (see Fig. S10A ). Indeed, the same temporal trend of R(t) can be observed in all layers, close to what happens for the data-driven model in the community layer (Fig. S10B) .....
    Document: Details on the implementation of these models are reported in Sec. 1.2, 1.4, and 1.5 of this Supplementary Material file. Our analysis of R(t) reveals that the annealed configuration model and the layer-shuffled model exhibit behavior very close to the homogeneous mixing model (see Fig. S10A ). Indeed, the same temporal trend of R(t) can be observed in all layers, close to what happens for the data-driven model in the community layer (Fig. S10B) . It is worth recalling that, although those models keep the degree distribution statistically equivalent to that of the data-driven model, the stochastic rewiring destroys temporal and topological correlations. The quenched configuration model, freezes the topological correlations of the model in time, and shows some deviations from the homogeneous model in terms of R(t), although not as marked as in the data driven model. This suggests that the pattern observed in the data-driven model can be explained by the contact structure of the actual population.

    Search related documents:
    Co phrase search for related documents
    • actual population and degree distribution: 1
    • actual population contact structure and contact structure: 1, 2
    • contact structure and degree distribution: 1, 2, 3, 4, 5, 6
    • contact structure and homogeneous mixing model: 1, 2
    • contact structure and homogeneous model: 1, 2
    • degree distribution and homogeneous mixing model: 1
    • degree distribution and homogeneous model: 1