A Hit-and-Run approach for generating scale invariant Small World networks
dc.contributor.author | Ghate, Archis | en_US |
dc.contributor.author | Smith, Robert L. | en_US |
dc.date.accessioned | 2009-01-07T15:29:03Z | |
dc.date.available | 2010-03-01T21:10:29Z | en_US |
dc.date.issued | 2009-01 | en_US |
dc.identifier.citation | Ghate, Archis; Smith, Robert L. (2009). "A Hit-and-Run approach for generating scale invariant Small World networks." Networks 53(1): 67-78. <http://hdl.handle.net/2027.42/61434> | en_US |
dc.identifier.issn | 0028-3045 | en_US |
dc.identifier.issn | 1097-0037 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/61434 | |
dc.description.abstract | Hit-and-Run is a well-known class of Markov chain algorithms for sampling from essentially arbitrary distributions over bounded regions of the Euclidean space. We present a class of Small World network models constructed using Hit-and-Run in a Euclidean ball. We prove that there is a unique scale invariant model in this class that admits efficient search by a decentralized algorithm. This research links two seemingly unrelated areas: Markov chain sampling techniques and scale invariant Small World networks, and may have interesting implications for stochastic search methods for continuous optimization. © 2008 Wiley Periodicals, Inc. NETWORKS, 2009 | en_US |
dc.format.extent | 246357 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | Wiley Subscription Services, Inc., A Wiley Company | en_US |
dc.subject.other | Engineering | en_US |
dc.subject.other | Electronic, Electrical & Telecommunications Engineering | en_US |
dc.title | A Hit-and-Run approach for generating scale invariant Small World networks | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Industrial and Operations Engineering | en_US |
dc.subject.hlbsecondlevel | Management | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.subject.hlbtoplevel | Business | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Industrial and Operations Engineering, The University of Michigan, Ann Arbor, Michigan 48109 | en_US |
dc.contributor.affiliationother | Industrial Engineering Program, The University of Washington, Seattle, Washington 98195 ; Industrial Engineering Program, The University of Washington, Seattle, Washington 98195 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/61434/1/20262_ftp.pdf | |
dc.identifier.doi | http://dx.doi.org/10.1002/net.20262 | en_US |
dc.identifier.source | Networks | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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