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DC Field | Value | Language |
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dc.contributor.author | Krapivsky, PL | - |
dc.contributor.author | Rodgers, GJ | - |
dc.contributor.author | Redner, S | - |
dc.coverage.spatial | 4 | en |
dc.date.accessioned | 2006-10-30T10:18:17Z | - |
dc.date.available | 2006-10-30T10:18:17Z | - |
dc.date.issued | 2001 | - |
dc.identifier.citation | Phys Rev Lett. 86(23): 5401-4, Jun 2001 | en |
dc.identifier.other | PACS: 89.75.Hc, 05.50.+q, 87.18.Sn, 89.75.Da | - |
dc.identifier.uri | http://link.aps.org/abstract/PRL/v86/p5401 | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/311 | - |
dc.description.abstract | The in-degree and out-degree distributions of a growing network model are determined. The in-degree is the number of incoming links to a given node (and vice versa for out-degree. The network is built by (i) creation of new nodes which each immediately attach to a pre-existing node, and (ii) creation of new links between pre-existing nodes. This process naturally generates correlated in- and out-degree distributions. When the node and link creation rates are linear functions of node degree, these distributions exhibit distinct power-law forms. By tuning the parameters in these rates to reasonable values, exponents which agree with those of the web graph are obtained. | en |
dc.format.extent | 280548 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | American Physical Society | en |
dc.subject | Statistical mechanics | en |
dc.subject | Disordered systems and neural networks | en |
dc.subject | Adaptation and self-organizing systems | en |
dc.title | Degree distributions of growing networks | en |
dc.type | Research Paper | en |
dc.identifier.doi | http://dx.doi.org/10.1103/PhysRevLett.86.5401 | - |
Appears in Collections: | Mathematical Physics Dept of Mathematics Research Papers Mathematical Sciences |
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Fulltext.pdf | 273.97 kB | Adobe PDF | View/Open |
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