Download PDFOpen PDF in browserApplications of Renormalizable Binary Fitness-Based Network ModelsEasyChair Preprint 54384 pages•Date: April 30, 2021AbstractA recent binary fitness-based renormalizable network models is fit to empirical networks across several levels. First, the case when a "natural" hierarchical partition is available is examined, and examplified with trade data. The goodness of fit at a fixed level is compared to the output of established fitness-based probabilistic models. Then the goodness of fit of the renormalizable model is assessed when the hierarchical partition is generated by state-of-the art model-based hierarchical clustering methods. Keyphrases: Clustering, fitness, hierarchical, multi-scale
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