Show simple item record

Differentiation Reconsidered: Social Networks and Macro-Theory.

dc.contributor.authorRytina, Steven Lawrence
dc.date.accessioned2020-09-08T23:31:33Z
dc.date.available2020-09-08T23:31:33Z
dc.date.issued1980
dc.identifier.urihttps://hdl.handle.net/2027.42/157824
dc.description.abstractMathematical models of the flows of contact within and between social categories are developed. The model for two categories reveals that the smaller category is more dense, more outbred, and more sensitive to changes in parameters. N-category models are shown to be a weighted average of two-category models. Multi-dimensional models for the special case of uncorrelated dimensions are developed. Both models imply the surprising result that increases in the number of categories and number of dimensions, interpreted as increases in social differentiation, lead to increases in sociometric density, interpreted as social cohesion, that far outstrip the more expectable increases in inter-category contact. A model of logically perfect cross-cutting pluralism, where every status is uncorrelated with every other status, reveals dense networks, no decline in category boundaries, and latent conflict groups arrayed on a hierarchical dimension. The models form the basis of a critique of Wirth's theory of urbanism. The pattern of resource distribution to which Dahl attributed pluralist politics is shown to follow from the structural changes from which Mills derived a power elite. A critique of conceptions of urban political integration considers networks as the link between structural categories and collective action. Finally, the macro network models are compared with older traditions in network analysis.
dc.format.extent169 p.
dc.languageEnglish
dc.titleDifferentiation Reconsidered: Social Networks and Macro-Theory.
dc.typeThesis
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineSocial research
dc.description.thesisdegreegrantorUniversity of Michigan
dc.subject.hlbtoplevelSocial Sciences
dc.contributor.affiliationumcampusAnn Arbor
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/157824/1/8017357.pdfen_US
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.