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Virus spread in networks

Published: 01 February 2009 Publication History

Abstract

The influence of the network characteristics on the virus spread is analyzed in a new--the N-intertwined Markov chain--model, whose only approximation lies in the application of mean field theory. The mean field approximation is quantified in detail. The N-intertwined model has been compared with the exact 2N-state Markov model and with previously proposed "homogeneous" or "local" models. The sharp epidemic threshold τc, which is a consequence of mean field theory, is rigorously shown to be equal to τc = 1/(λmax (A)), where λmax (A) is the largest eigenvalue--the spectral radius--of the adjacency matrix A. A continued fraction expansion of the steady-state infection probability at node j is presented as well as several upper bounds.

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Published In

cover image IEEE/ACM Transactions on Networking
IEEE/ACM Transactions on Networking  Volume 17, Issue 1
February 2009
346 pages

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IEEE Press

Publication History

Published: 01 February 2009
Revised: 20 July 2007
Received: 23 March 2007
Published in TON Volume 17, Issue 1

Author Tags

  1. Markov theory
  2. epidemic threshold
  3. mean field theory
  4. spectral radius
  5. virus spread

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