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Implementation of propensity clustering and decomposition as described in Ranola et al. (2013) doi:10.1186/1752-0509-7-21. Propensity decomposition can be viewed on the one hand as a generalization of the eigenvector-based approximation of correlation networks, and on the other hand as a generalization of random multigraph models and conformity-based decompositions.
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