Biology – Quantitative Biology – Populations and Evolution
Scientific paper
2008-11-14
Phys. Rev. E 79, 036113 (2009)
Biology
Quantitative Biology
Populations and Evolution
10 pages, 5 figures. Minor modifications were made in figures 3, 4 and 5 and in the text. Explanations and references were add
Scientific paper
10.1103/PhysRevE.79.036113
Considerable attention has been paid, in recent years, to the use of networks in modeling complex real-world systems. Among the many dynamical processes involving networks, propagation processes -- in which final state can be obtained by studying the underlying network percolation properties -- have raised formidable interest. In this paper, we present a bond percolation model of multitype networks with an arbitrary joint degree distribution that allows heterogeneity in the edge occupation probability. As previously demonstrated, the multitype approach allows many non-trivial mixing patterns such as assortativity and clustering between nodes. We derive a number of useful statistical properties of multitype networks as well as a general phase transition criterion. We also demonstrate that a number of previous models based on probability generating functions are special cases of the proposed formalism. We further show that the multitype approach, by naturally allowing heterogeneity in the bond occupation probability, overcomes some of the correlation issues encountered by previous models. We illustrate this point in the context of contact network epidemiology.
Allard Antoine
Dube' Louis J.
Noël Pierre-André
Pourbohloul Babak
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