Cluster Inference by Using Transitivity Indices in Empirical Graphs
- 1 December 1982
- journal article
- research article
- Published by JSTOR in Journal of the American Statistical Association
- Vol. 77 (380) , 835
- https://doi.org/10.2307/2287315
Abstract
A random graph model is introduced for similarities observed between the objects sampled from an unknown cluster structure. We investigate this model and show how some common transitivity indices in empirical graphs can be used for making statistical inferences about cluster structures.Keywords
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