Direct, physically motivated derivation of triggering probabilities for   spreading processes on generalized random networks
  We derive a general expression for the probability of global spreading starting from a single infected seed for contagion processes acting on generalized, correlated random networks. We employ a simple probabilistic argument that encodes the spreading mechanism in an intuitive, physical fashion. We use our approach to directly and systematically obtain triggering probabilities for contagion processes acting on a collection of random network families including bipartite random networks. We find the contagion condition, the location of the phase transition into an endemic state, from an expansion about the disease-free state. 
Kameron Decker Harris, Joshua L. Payne, and Peter Sheridan Dodds
cond-mat.dis-nn physics.soc-ph