Literature DB >> 19091685

Sick and edgy: walk-counting as a metric of epidemic spreading on networks.

Dennis C Wylie1, Wayne M Getz.   

Abstract

A network structure metric is herein suggested for the investigation of the behaviour of epidemic spreading processes in general network-structured populations. This simple measure, based on the algebraic powers of the adjacency matrix associated with the network in question, is shown to admit a heuristic interpretation as a representation of a spreading process similar to standard epidemic models. It is further shown that the values of this metric may be of use in understanding the dynamic pattern of epidemic spread on networks of greatly varying structural properties (e.g. the degree distribution, the assortativity/dissortativity and the clustering).

Mesh:

Year:  2008        PMID: 19091685      PMCID: PMC2838253          DOI: 10.1098/rsif.2008.0423

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  20 in total

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6.  Large-scale topological and dynamical properties of the Internet.

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8.  Synchronization reveals topological scales in complex networks.

Authors:  Alex Arenas; Albert Díaz-Guilera; Conrad J Pérez-Vicente
Journal:  Phys Rev Lett       Date:  2006-03-22       Impact factor: 9.161

9.  Percolation and epidemic thresholds in clustered networks.

Authors:  M Angeles Serrano; Marián Boguñá
Journal:  Phys Rev Lett       Date:  2006-08-23       Impact factor: 9.161

10.  Synchronization is enhanced in weighted complex networks.

Authors:  M Chavez; D-U Hwang; A Amann; H G E Hentschel; S Boccaletti
Journal:  Phys Rev Lett       Date:  2005-06-02       Impact factor: 9.161

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