Bootstrap resampling for correlation matrices

[Islast]

When we create a network for a cohort of participants we can't meaningfully interpret graph measures if they change dramatically when the selection of participants is slightly altered. 🎱
We want to use bootstrap resampling to measure how much our graph measures change under perturbations to the group of participants.

When we implement this it should be done at the point of creation of correlation matrices. We will then perform the same analyses on the bootstrapped matrices as we would on the original.
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I'm not sure what resources there are for bootstrap resampling in python- Please comment if you do! 🌟