A note on a matrix criterion for unique colorability of a signed graph
dc.contributor.author | Gleason, Terry C. | en_US |
dc.contributor.author | Cartwright, Dorwin | en_US |
dc.date.accessioned | 2006-09-11T16:23:44Z | |
dc.date.available | 2006-09-11T16:23:44Z | |
dc.date.issued | 1967-09 | en_US |
dc.identifier.citation | Gleason, 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.issn | 0033-3123 | en_US |
dc.identifier.issn | 1860-0980 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/45725 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=5234706&dopt=citation | en_US |
dc.description.abstract | A 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.extent | 410993 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Springer-Verlag; Psychometric Society | en_US |
dc.subject.other | Statistical Theory and Methods | en_US |
dc.subject.other | Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law | en_US |
dc.subject.other | Psychology | en_US |
dc.subject.other | Psychometrics | en_US |
dc.subject.other | Assessment, Testing and Evaluation | en_US |
dc.title | A note on a matrix criterion for unique colorability of a signed graph | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Psychology | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | University of Michigan, USA | en_US |
dc.contributor.affiliationum | University of Michigan, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.identifier.pmid | 5234706 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/45725/1/11336_2005_Article_BF02289592.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/BF02289592 | en_US |
dc.identifier.source | Psychometrika | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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