Direct, physically motivated derivation of triggering probabilities for spreading processes on generalized random networks

Physics – Condensed Matter – Disordered Systems and Neural Networks

Scientific paper

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4 pages, 1 table, 1 figure

Scientific paper

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 series of interrelated random network families.

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