Temporal network tools. Version 0.3.5
Package includes various tools for analyzing temporal network data. Temporal network measures, temporal network generation, derivation of time-varying/dynamic connectivity, plotting functions. Some extra focus is placed on neuroimaging data (e.g. compatible with BIDS data format).
With pip installed:
pip install teneto
to upgrade teneto:
pip install teneto -U
Requires: Python 3.5 or python 3.6.
Installing teneto via pip installs all python package requirements as well.
Version 0.3.5+: community detection has been temporarily removed until a better solution than using iGraph is found. iGraph has lead to multiple problems on non-linux systems. Community detection can still be imported (import teneto.communitydeteciton) but it has been removed from TenetoBIDS. If required in TenetoBIDS the code still exists but is commented uncomment ./teneto/classes/bids.py line 1060-1132 to get working again.
More detailed documentation can be found at teneto.readthedocs.io and includes tutorials.
This package is under active development. And a lot of changes will still be made.
If using this, please cite us. At present we do not have a dedicated article about teneto, but teneto is introduced, a long with a considerable amount of the metrics:
Thompson, William Hedley, Per Brantefors, and Peter Fransson. "From static to temporal network theory applications to functional brain connectivity." Network Neuroscience (2017).