Not sure I understand the question… the paper is going to contain four approaches. Two – by association depth and association breadth – are already explained in the Overleaf document. An application to the POPREBEL dataset is here, though complicated by the languages issue.
The other two are: by k-core decomposition, applied to POPREBEL here; and Guy’s Simmelian backbone, applied to POPREBEL data here.
What would you need exactly?