Building Better Blockmodels: A Non-Hierarchical Extension of CONCOR With Applications to Regression Analysis
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Issue Date
1981-04-01Author
Steiber, Steven R.
Publisher
Department of Sociology, University of Kansas
Type
Article
Rights
Copyright (c) Social Thought and Research. For rights questions please contact Editor, Department of Sociology, Social Thought and Research, Fraser Hall, 1415 Jayhawk Blvd, Lawrence, KS 66045.
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Show full item recordAbstract
Cluster analysis has been used by many as a tool for identifying relatively small numbers of categories which represent the salient contrasts within bodies of data. One method which has received widespread use among sociologists in general, and sociometrists in particular, is CONCOR. This paper presents a non-hierarchical extension of the CONCOR algorithm and demonstrates the advantages of this extension with three exemplary bodies of data. One of the bodies of data is then. used as a vehicle for expanding on the information which is customarily derived from cluster, or blockmodel, analyses. Specifically, a means by which the results of blockmodeling may be translated into a regression model is described and demonstrated using these network data.
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Citation
Mid-American Review of Sociology, Volume 6, Number 1 (SPRING, 1981), pp. 17-40 http://dx.doi.org/10.17161/STR.1808.4878
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