Correct way to standardize/scale/normalize multiple variables following power law distribution for use in linear combination
I'd like to combine a few metrics of nodes in a social network graph into a single value for rank ordering the nodes: in_degree + betweenness_centrality = informal_power_index The problem is that in_degree and betweenness_centrality are measured on different scales, say 0-15 vs 0-35000 and follow a power law distribution (at least...