Literature DB >> 16383709

Epidemic spreading and cooperation dynamics on homogeneous small-world networks.

F C Santos1, J F Rodrigues, J M Pacheco.   

Abstract

We introduce a class of small-world networks--homogeneous small-worlds--which, in contrast with the well-known Watts-Strogatz small-worlds, exhibit a homogeneous connectivity distribution, in the sense that all nodes have the same number of connections. This feature allows the investigation of pure small-world effects, detached from any associated heterogeneity. Furthermore, we use at profit the remarkable similarity between the properties of homogeneous small worlds and the heterogeneous small-worlds of Watts-Strogatz to assess the separate roles of heterogeneity and small-world effects. We investigate the dependence on these two mechanisms of the threshold for epidemic outbreaks and also of the coevolution of cooperators and defectors under natural selection. With respect to the well-studied regular homogeneous limits, we find a subtle interplay between these mechanisms. While they both contribute to reduce the threshold for an epidemic outburst, they exhibit opposite behavior in the evolution of cooperation, such that the overall results mask the true nature of their individual contribution to this process.

Year:  2005        PMID: 16383709     DOI: 10.1103/PhysRevE.72.056128

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  31 in total

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7.  Consensus and polarization in competing complex contagion processes.

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8.  Evolutionary graph theory: breaking the symmetry between interaction and replacement.

Authors:  Hisashi Ohtsuki; Jorge M Pacheco; Martin A Nowak
Journal:  J Theor Biol       Date:  2007-02-08       Impact factor: 2.691

9.  Reputation-based partner choice promotes cooperation in social networks.

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Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2008-08-22

10.  Small-world effects in a modified epidemiological model with mutation and permanent immune mechanism.

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Journal:  Nonlinear Dyn       Date:  2021-05-11       Impact factor: 5.022

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