During the study of diffusion imaging and after connectome extraction by MRTRIX3, I tried to calculate the topological features.
I followed the following document “” “Full title: A hands-on tutorial on network and topological neuroscience 2 Short title: Hands-on network and topological neuroscience” “”.
When I use the python codes in there, I noticed that the results are different from those already calculated by bct.
nx.clustering (G_gt, weight = ‘weight’)
nx.average_clustering (G_gt, weight = ‘weight’)
I wanted to know what I need to do to make it have the same results, so I am wondering if the connectome made by MRTRIX3 is a correlation matrix (which is the case for the connectivity matrix for functional MRI )