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Comment
. 2008 Oct;78(4 Pt 2):048101.
doi: 10.1103/PhysRevE.78.048101. Epub 2008 Oct 27.

Comment on "properties of highly clustered networks"

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Comment

Comment on "properties of highly clustered networks"

Istvan Z Kiss et al. Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Oct.

Abstract

We consider a procedure for generating clustered networks previously reported by Newman [Phys. Rev. E 68, 026121 (2003)]. In the same study, clustered networks generated according to the proposed model have been reported to have a lower epidemic threshold under susceptible-infective-recovered-type network epidemic dynamics. By rewiring networks generated by this model, such that the degree distribution is conserved, we show that the lower epidemic threshold can be closely reproduced by rewired networks with close to zero clustering. The reported lower epidemic threshold can be explained by different degree distributions observed in the networks corresponding to different levels of clustering. Clustering results in networks with high levels of heterogeneity in node degree, a higher proportion of nodes with zero connectivity, and links concentrated within highly interconnected components of small size. Hence, networks generated by this model differ in both clustering and degree distribution, and the lower epidemic threshold is not explained by clustering alone.

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Comment on

  • Properties of highly clustered networks.
    Newman ME. Newman ME. Phys Rev E Stat Nonlin Soft Matter Phys. 2003 Aug;68(2 Pt 2):026121. doi: 10.1103/PhysRevE.68.026121. Epub 2003 Aug 21. Phys Rev E Stat Nonlin Soft Matter Phys. 2003. PMID: 14525063