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A note on a matrix criterion for unique colorability of a signed graph

dc.contributor.authorGleason, Terry C.en_US
dc.contributor.authorCartwright, Dorwinen_US
dc.date.accessioned2006-09-11T16:23:44Z
dc.date.available2006-09-11T16:23:44Z
dc.date.issued1967-09en_US
dc.identifier.citationGleason, Terry C.; Cartwright, Dorwin; (1967). "A note on a matrix criterion for unique colorability of a signed graph." Psychometrika 32(3): 291-296. <http://hdl.handle.net/2027.42/45725>en_US
dc.identifier.issn0033-3123en_US
dc.identifier.issn1860-0980en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45725
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=5234706&dopt=citationen_US
dc.description.abstractA signed graph, S , is colorable if its point set can be partitioned into subsets such that all positive lines join points of the same subset and all negative lines join points of different subsets. S is uniquely colorable if there is only one such partition. Developed in this note is a new matrix, called the type matrix of S , which provides a classification of the way pairs of points are joined in S . Such a classification yields a criterion for colorability and unique colorability.en_US
dc.format.extent410993 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherSpringer-Verlag; Psychometric Societyen_US
dc.subject.otherStatistical Theory and Methodsen_US
dc.subject.otherStatistics for Social Science, Behavorial Science, Education, Public Policy, and Lawen_US
dc.subject.otherPsychologyen_US
dc.subject.otherPsychometricsen_US
dc.subject.otherAssessment, Testing and Evaluationen_US
dc.titleA note on a matrix criterion for unique colorability of a signed graphen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPsychologyen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan, USAen_US
dc.contributor.affiliationumUniversity of Michigan, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.pmid5234706en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45725/1/11336_2005_Article_BF02289592.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF02289592en_US
dc.identifier.sourcePsychometrikaen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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