pyKrack
Install
Due to the comparisons with the R package sna we recommend using conda
to manage your environment.
- First create the pykrack conda environment from the environment.yml file:
conda (or mamba) env create -f environment.yml- Then load the conda environment with:
conda activate pykrack- And finally install the package from pip via the following command:
pip install pyKrackAlternatively pyKrack can also be isntalled using pip via the following command
pip install pyKrackThen install the R dependencies listed in the conda environmnet.yml manually.
How to use
Please see the core and hierarchy notebooks for more detailed explanations.
pyKrack consists of one main function,
compute_hierarchy.
compute_hierarchy
compute_hierarchy (G, metric='pykrack')
Compute one of the possible hierarchy scores
| Type | Default | Details | |
|---|---|---|---|
| G | Directed NetworkX graph | ||
| metric | str | pykrack | Type of hierarchy metric to compute. Accepted types are: ‘pykrack’ for this module’s implementation of the Krackhardt score. ‘rsnakrack’ for the sna implementation in R. ‘hierarchy_flow’ for the Luo and Magee 2011 as implemented in the NetworkX package. |
| Returns | float | One of the possible hierarchy scores |
