Title :
Information spreading on almost torus networks
Author :
Masucci, Antonia Maria ; Silva, Alonso
Author_Institution :
ETIS/ENSEA, Univ. de Cergy Pontoise, Cergy, France
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.
Keywords :
directed graphs; multiprocessor interconnection networks; network theory (graphs); characteristic polynomial; computer networks; epidemic modeling; explicit expressions; information spreading; lower bounds; spectral radius; susceptible-infected-susceptible spreading model; telecommunication networks; torus length; torus network topology; Computational modeling; Eigenvalues and eigenfunctions; Laplace equations; Network topology; Nickel; Polynomials; Symmetric matrices;
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
Print_ISBN :
978-1-4673-5714-2
DOI :
10.1109/CDC.2013.6760383