Analyzing network reliability using structural motifs
This paper uses the reliability polynomial, introduced by Moore and Shannon in 1956, to analyze the effect of network structure on diffusive dynamics such as the spread of infectious disease. We exhibit a representation for the reliability polynomial in terms of what we call structural motifs that i...
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Veröffentlicht in: | Physical review. E, Statistical, nonlinear, and soft matter physics Statistical, nonlinear, and soft matter physics, 2015-04, Vol.91 (4), p.042814-042814, Article 042814 |
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container_title | Physical review. E, Statistical, nonlinear, and soft matter physics |
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creator | Khorramzadeh, Yasamin Youssef, Mina Eubank, Stephen Mowlaei, Shahir |
description | This paper uses the reliability polynomial, introduced by Moore and Shannon in 1956, to analyze the effect of network structure on diffusive dynamics such as the spread of infectious disease. We exhibit a representation for the reliability polynomial in terms of what we call structural motifs that is well suited for reasoning about the effect of a network's structural properties on diffusion across the network. We illustrate by deriving several general results relating graph structure to dynamical phenomena. |
doi_str_mv | 10.1103/PhysRevE.91.042814 |
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subjects | Algorithms Communicable Diseases - epidemiology Diffusion Models, Theoretical |
title | Analyzing network reliability using structural motifs |
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