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src/s/t/StochasticBlockmodel-HEAD/test_sparse.py   StochasticBlockmodel(Download)
net.new_node_covariate('pub_dates').from_pairs(net.names, pub_dates)
net.node_covariates['pub_dates'].show_histogram()
net.show_heatmap('pub_dates')
 
# Exclude impossible edges using infinite offset
# Redisplay heatmap, ordered by estimated alphas from last fit, i.e.,
# NonstationaryLogistic with publication date difference covariates
net.show_heatmap('alpha_out')
net.show_heatmap('alpha_in')