Discontinuous Transition of a Multistage Independent Cascade Model on Networks
arXiv:1212.5547 · doi:10.1088/1742-5468/2014/11/P11024
Abstract
We propose a multistage version of the independent cascade model, which we call a multistage independent cascade (MIC) model, on networks. This model is parameterized by two probabilities: the probability that a node adopting a fad increases the awareness of a neighboring susceptible node, and the probability that an adopter directly causes a susceptible node to adopt the fad. We formulate a tree approximation for the MIC model on an uncorrelated network with an arbitrary degree distribution . Applied on a random regular network with degree , this model exhibits a rich phase diagram, including continuous and discontinuous transition lines for fad percolation, and a continuous transition line for the percolation of susceptible nodes. In particular, the percolation transition of fads is discontinuous (continuous) when is larger (smaller) than a certain value. A similar discontinuous transition is also observed in random graphs and scale-free networks. Furthermore, assigning a finite fraction of initial adopters dramatically changes the phase boundaries.
15 pages, 11 figures
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