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http://bura.brunel.ac.uk/handle/2438/7659
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DC Field | Value | Language |
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dc.contributor.author | Smolyarenko, I | - |
dc.date.accessioned | 2013-10-08T08:44:14Z | - |
dc.date.available | 2013-10-08T08:44:14Z | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 1539-3755 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/7659 | - |
dc.description | This article is a preprint of a paper that is currently under review with Physical Review E. | en_US |
dc.description.abstract | We study a class of network growth models in which the choice of attachment by new nodes is governed by intrinsic attractiveness, or tness, of the existing nodes. The key feature of the models is a feedback mechanism whereby the distribution from which fitnesses of new nodes are drawn is dynamically updated to account for the evolving degree distribution. It is shown that in the case of linear mapping between fitnesses and degrees, the models lead to tunable stationary powerlaw degree distribution, while in the non-linear case the distributions converge to the stretched exponential form. | en_US |
dc.language.iso | en | en_US |
dc.subject | Complex networks | en_US |
dc.subject | Fitness | en_US |
dc.title | Fitness-based network growth with dynamic feedback | en_US |
dc.type | Article | en_US |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel Active Staff | - |
pubs.organisational-data | /Brunel/Brunel Active Staff/School of Info. Systems, Comp & Maths | - |
pubs.organisational-data | /Brunel/Brunel Active Staff/School of Info. Systems, Comp & Maths/Maths | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups/Brunel University Random Systems Research Centre | - |
Appears in Collections: | Mathematical Physics Dept of Mathematics Research Papers Mathematical Sciences |
Files in This Item:
File | Description | Size | Format | |
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Preprint.pdf | 210.55 kB | Adobe PDF | View/Open |
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