Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/1558
Appears in Collections: | Aquaculture Journal Articles |
Peer Review Status: | Refereed |
Title: | Comment on "Properties of highly clustered networks" |
Author(s): | Kiss, Istvan Z Green, Darren |
Contact Email: | darren.green@stir.ac.uk |
Keywords: | Virus diseases System analysis |
Issue Date: | 27-Oct-2008 |
Date Deposited: | 20-Aug-2009 |
Citation: | Kiss IZ & Green D (2008) Comment on "Properties of highly clustered networks". Commentary on: MEJ Newman, 'Properties of Highly Clustered Networks', Phys. Rev. E 68, 026121 (2003). Physical Review E, 78 (4), Art. No.: 048101. https://doi.org/10.1103/PhysRevE.78.048101 |
Abstract: | We consider a procedure for generating clustered networks previously reported by Newman (M.E.J. 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 SIR-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. |
DOI Link: | 10.1103/PhysRevE.78.048101 |
Rights: | Published in Physical Review E. Copyright ©2008 The American Physical Society.; http://pre.aps.org/ |
Files in This Item:
File | Description | Size | Format | |
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IZKissDMGreenCom.pdf | Fulltext - Accepted Version | 203.11 kB | Adobe PDF | View/Open |
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