Shape and efficiency in spatial distribution networks
dc.contributor.author | Gastner, Michael T. | en_US |
dc.contributor.author | Newman, M. E. J. | en_US |
dc.date.accessioned | 2006-12-19T19:00:57Z | |
dc.date.available | 2006-12-19T19:00:57Z | |
dc.date.issued | 2006-01-01 | en_US |
dc.identifier.citation | Gastner, Michael T; Newman, M E J (2006). "Shape and efficiency in spatial distribution networks." Journal of Statistical Mechanics: Theory and Experiment. 01(P01015). <http://hdl.handle.net/2027.42/48938> | en_US |
dc.identifier.issn | 1742-5468 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/48938 | |
dc.description.abstract | We study spatial networks that are designed to distribute or collect a commodity, such as gas pipelines or train tracks. We focus on the cost of a network, as represented by the total length of all its edges, and its efficiency in terms of the directness of routes from point to point. Using data for several real-world examples, we find that distribution networks appear remarkably close to optimal where both these properties are concerned. We propose two models of network growth that offer explanations of how this situation might arise. | en_US |
dc.format.extent | 3118 bytes | |
dc.format.extent | 904458 bytes | |
dc.format.mimetype | text/plain | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.publisher | IOP Publishing Ltd | en_US |
dc.title | Shape and efficiency in spatial distribution networks | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Physics | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Physics, University of Michigan, 450 Church Street, Ann Arbor, MI 48109-1040, USA ; Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA | en_US |
dc.contributor.affiliationum | Department of Physics, University of Michigan, 450 Church Street, Ann Arbor, MI 48109-1040, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/48938/2/jstat6_01_p01015.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1088/1742-5468/2006/01/P01015 | en_US |
dc.identifier.source | Journal of Statistical Mechanics: Theory and Experiment. | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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