Information Spreading on Almost Torus Networks

Abstract : Epidemic modeling has been extensively used in the last years in the field of telecommunications and computer networks. We consider the popular Susceptible-Infected-Susceptible spreading model as the metric for information spreading. In this work, we analyze information spreading on a particular class of networks denoted almost torus networks and over the lattice which can be considered as the limit when the torus length goes to infinity. Almost torus networks consist on the torus network topology where some nodes or edges have been removed. We find explicit expressions for the characteristic polynomial of these graphs and tight lower bounds for its computation. These expressions allow us to estimate their spectral radius and thus how the information spreads on these networks.
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Communication dans un congrès
52nd IEEE Conference on Decision and Control (CDC), Dec 2013, Florence, Italy. 2013
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https://hal.inria.fr/hal-00922262
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Antonia Maria Masucci, Alonso Silva. Information Spreading on Almost Torus Networks. 52nd IEEE Conference on Decision and Control (CDC), Dec 2013, Florence, Italy. 2013. 〈hal-00922262〉

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