Settings in Social Networks : a Measurement Model †

@inproceedings{Schweinberger2003SettingsIS,
  title={Settings in Social Networks : a Measurement Model †},
  author={Michael Schweinberger and Tom A. B. Snijders},
  year={2003}
}
A class of statistical models is proposed which aims to recover latent settings structures in social networks. Settings may be regarded as clusters of vertices. The measurement model builds on two assumptions. The observed network is assumed to be generated by hierarchically nested latent transitive structures, expressed by ultrametrics. It is assumed that expected tie strength decreases with ultrametric distance. The approach could be described as model-based clustering with an ultrametric… CONTINUE READING

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