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Shape and efficiency in spatial distribution networks

dc.contributor.authorGastner, Michael T.en_US
dc.contributor.authorNewman, M. E. J.en_US
dc.date.accessioned2006-12-19T19:00:57Z
dc.date.available2006-12-19T19:00:57Z
dc.date.issued2006-01-01en_US
dc.identifier.citationGastner, 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.issn1742-5468en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/48938
dc.description.abstractWe 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.extent3118 bytes
dc.format.extent904458 bytes
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherIOP Publishing Ltden_US
dc.titleShape and efficiency in spatial distribution networksen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPhysicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment 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, USAen_US
dc.contributor.affiliationumDepartment of Physics, University of Michigan, 450 Church Street, Ann Arbor, MI 48109-1040, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/48938/2/jstat6_01_p01015.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1088/1742-5468/2006/01/P01015en_US
dc.identifier.sourceJournal of Statistical Mechanics: Theory and Experiment.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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