Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/8359
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dc.contributor.authorRodgers, GJ-
dc.date.accessioned2014-04-29T14:33:15Z-
dc.date.available2014-04-29T14:33:15Z-
dc.date.issued2007-
dc.identifier.citationPhysica A: Statistical Mechanics and its Applications, 386(1), 557 - 563, Dec 2007en_US
dc.identifier.issn0378-4371-
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S0378437107007832en
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/8359-
dc.descriptionCopyright @ 2007 Elsevier B.V. This is a preprint version of the final published article which can be accessed from the link below.en_US
dc.description.abstractWe introduce and analyze a model of a multi-directed Eulerian network, that is a directed and weighted network where a path exists that passes through all the edges of the network once and only once. Networks of this type can be used to describe information networks such as human language or DNA chains. We are able to calculate the strength and degree distribution in this network and find that they both exhibit a power law with an exponent between 2 and 3. We then analyze the behavior of the accelerated version of the model and find that the strength distribution has a double slope power-law behavior. Finally we introduce a non-Eulerian version of the model and find that the statistical topological properties remain unchanged. Our analytical results are compared with numerical simulations.en_US
dc.description.sponsorshipNET-ACE Project, supported by the ECen_US
dc.languageEnglish-
dc.language.isoenen_US
dc.publisherElsevier Science BVen_US
dc.subjectNetworken_US
dc.subjectWeighteden_US
dc.subjectDirecteden_US
dc.subjectWeighten_US
dc.subjectStrengthen_US
dc.subjectEulerianen_US
dc.subjectLanguageen_US
dc.subjectDNAen_US
dc.titleMulti-directed Eulerian growing networksen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.physa.2007.07.021-
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