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ENH: Compute and plot network statistics of structural and functional connectivity matrices #12

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@sebastientourbier

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@sebastientourbier

Goal
Serve as quality assurance

Tasks

  • Computes and plots of connectome-specific summary statistics as in ndmg:
    • Implement a load_graph() which takes the full path of the connectome to load
    • Implement a load_graphs() which takes the BIDS root directory, the output directory, the (sub)list, and the parcellation scheme. It will call load_graph() for each subject / session / parcellation scale.
    • Implement a compute_network_metrics() which:
      1. differentiate structural and functional connectivity matrices and
      2. compute for each connectivity matrix scale network measures and statistics (Number of non-zero edges, Max Local Statistic Sequence, Clustering Coefficients, Degree sequence, Edge weight sequence, , Eigen value, betweenness centrality, mean/median connectome)
  • Integration of plots in the processing summary report of the diffusion pipeline (ENH: Processing summary report for diffusion pipeline #10)

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