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What is a system?

dc.contributor.authorHarary, Franken_US
dc.contributor.authorBatell, Mark F.en_US
dc.date.accessioned2006-04-07T18:10:17Z
dc.date.available2006-04-07T18:10:17Z
dc.date.issued1981en_US
dc.identifier.citationHarary, Frank, Batell, Mark F. (1981)."What is a system?." Social Networks 3(1): 29-40. <http://hdl.handle.net/2027.42/24489>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6VD1-46MN10H-3/2/bf5b918960f0911ce07a55700df50f69en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/24489
dc.description.abstractA new definition and model of a system is presented utilizing graph theoretic concepts and introducing nested graphs. By a comprehensive search of the literature, this abstract formulation of a system is shown to incorporate extant theory. The approach of Emery and Trist using open and closed systems, the system-environment model of Cartwright and Harary, and the structural role system of Oeser and Harary are all subsumed as special cases. The value of such a theory is discussed in statistical terms by considering correlational problems and Simpson's paradox. A general problem-solving algorithm is presented, using this model of a system, suggested by a simultaneous generalization of the statistical procedures of cluster analysis and stagewise regression. An example is interpreted in the nested network framework, illustrating the applicability of the model to empirical situations.en_US
dc.format.extent826200 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleWhat is a system?en_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelSocial Sciences (General)en_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.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/24489/1/0000765.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0378-8733(81)90003-4en_US
dc.identifier.sourceSocial Networksen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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