This repository contains a C++ library and example program for computing the CD index (as introduced by Funk and Owen-Smith, 2017, see http://www.cdindex.info for more information) and a few related measures.
The code only uses the Standard Template Library so it should compile very easily with your favorite C++ compiler, e.g.
g++ main.cpp edgraph.cpp -o edgraph
You can then run edgraph as follows.
./edgraph vertices.csv edges.csv results.txt
where vertices.csv is a csv file with two columns, one for the (integer) identifier for each vertex, edges.csv is an edge list, formatted as a csv file, with two columns, one for the "citing" and one for the "cited" vertex.
That this library was written before the final publication of the paper, and uses slightly different terminology ("disruptiveness" -> "CD index", "disruptive" -> "destabilizing", "amplifying" -> "consolidating", "radicalness" -> "mCD index").
Also note that this code was written by Funk ages ago, and while potentially useful, is not really actively maintained, though he is generally happy to answer questions (rfunk@umn.edu). There is more recent C/Python package available here.