Python package for creating and analyzing Higher-order networks from sequential dataset
Project description
HONyx
HONyx is a Python package for generating and analyzing Higher-Order Networks models
- Source: https://gitlab.univ-nantes.fr/queyroi-f/honyx
- Bug reports: https://gitlab.univ-nantes.fr/queyroi-f/honyx/-/issues
Usage
>>> import honyx
>>> import networkx as nx
>>> sequences = [['a','b','r','a','c','a','d','a','b','r','a']]
>>> fon2 = honyx.generate_hon(sequences, "fix-order", max_order = 2)
>>> pos = nx.spring_layout(fon2)
>>> node_cols = ['blue' if len(v)==1 else 'green' for v in fon2.nodes()]
>>> nx.draw(fon2, pos = pos, with_labels=True, node_size=1000, node_color = node_cols, alpha=0.5)
>>> nx.draw_networkx_edge_labels(fon2, pos, edge_labels = nx.get_edge_attributes(fon2,'weight'))
>>> honyx.pagerank_hon(fon2)
{'a': 0.40849881734049087,
'd': 0.14318783763461537,
'c': 0.1478373488011564,
'r': 0.15427265837422358,
'b': 0.14620333784951386}
Citing
To cite HONyx, please use the following publication:
Julie Queiros, François Queyroi (2023).
Construction de Réseaux d'Ordre Supérieur à partir de Traces : Méthodes et Outils.
https://hal.science/hal-04085138
Install
Using Python 3.8, 3.9, or 3.10.
Install the latest version of HONyx:
$ pip install honyx
Required dependancies include NetworkX, Numpy and Scipy.
License
Released under the MIT license (see LICENSE.txt)::
Copyright (C) 2004-2023 HONyx Developers
Julie Queiros <julie.queiros@univ-nantes.fr>
François Queyroi <francois.queyroi@univ-nantes.fr>
Simon Artus <simon.artus@etu.univ-nantes.fr>
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