William Hedley Thompson
William Hedley Thompson
Collecting issues relating to this issue. To be fixed for Version 0.6.
Considering preprocessing options like: [this](https://www.sciencedirect.com/science/article/pii/S1053811919303283?casa_token=j0kSj2EO3RwAAAAA:VIO_fZ0iVlXlj2S4D3NJmm_elH8kGdFtf8h-BzQf7Zlib7yDTcx1ZLOFK_FtdltftA4BjLwADA), prewhitening pror to deriving network connectivity for some methods may have advantages.
Some networkmeasures will not run if TemporalNetwork is in the HDF5 format. These should be fixed. Measures are: temporal_degree_centrality, volatility, fluctuability, sid, topological overlap, and participation coefficient with negative edges)...
## General 1. create teneto.stats module ## NHSTing if network is not more "x" than random 1. allow for multiple ways to permute network (taken from Holme 2012). 2. allow...
Outlined in https://arxiv.org/pdf/1501.00040.pdf
Been reported in emails that TemporalNetwork can be slow. It was a little unclear in correspondence if this was a dense or sparse matrix. But the problem is *probably* when...
Make it possible for the discrete legend to be bigger. Some ideas: Allow legend_size = ‘large’ to span all subplots. Alternatively, allow the legend to be longer Have an argument...
Following code ``` import netplotbrain # Get 100 node atlas from templateflow node_dict = {'atlas': 'Schaefer2018', 'desc': '100Parcels7Networks', 'extension': '.nii.gz', 'resolution': 1} netplotbrain.plot(template = 'MNI152NLin2009cAsym', nodes = node_dict, nodetype =...