What is a system?
dc.contributor.author | Harary, Frank | en_US |
dc.contributor.author | Batell, Mark F. | en_US |
dc.date.accessioned | 2006-04-07T18:10:17Z | |
dc.date.available | 2006-04-07T18:10:17Z | |
dc.date.issued | 1981 | en_US |
dc.identifier.citation | Harary, 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.uri | http://www.sciencedirect.com/science/article/B6VD1-46MN10H-3/2/bf5b918960f0911ce07a55700df50f69 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/24489 | |
dc.description.abstract | A 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.extent | 826200 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | What is a system? | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Social Sciences (General) | 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.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/24489/1/0000765.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0378-8733(81)90003-4 | en_US |
dc.identifier.source | Social Networks | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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