DocumentCode
3530370
Title
Information spreading on almost torus networks
Author
Masucci, Antonia Maria ; Silva, Alonso
Author_Institution
ETIS/ENSEA, Univ. de Cergy Pontoise, Cergy, France
fYear
2013
fDate
10-13 Dec. 2013
Firstpage
3273
Lastpage
3280
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location
Firenze
ISSN
0743-1546
Print_ISBN
978-1-4673-5714-2
Type
conf
DOI
10.1109/CDC.2013.6760383
Filename
6760383
Link To Document