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      Die-out Probability in SIS Epidemic Processes on Networks

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          Abstract

          An accurate approximate formula of the die-out probability in a SIS epidemic process on a network is proposed. The formula contains only three essential parameters: the largest eigenvalue of the adjacency matrix of the network, the effective infection rate of the virus, and the initial number of infected nodes in the network. The die-out probability formula is compared with the exact die-out probability in complete and Erd\H{o}s-R\'enyi graphs, which demonstrates the accuracy. Furthermore, as an example, the formula is applied to the N-Intertwined Mean-Field Approximation, to explicitly incorporate the die-out.

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          Author and article information

          Journal
          2016-09-15
          Article
          1609.04880
          d20c708c-195c-46d1-86bb-a33e92387b33

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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          Custom metadata
          6 figures, 10 pagers
          cs.SI physics.data-an physics.soc-ph

          Social & Information networks,General physics,Mathematical & Computational physics

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