calculate the similarity index of the label graph pairs package in python.
Project description
similarity_index_of_label_graph
calculate the similarity index of the label graph pairs package in python.
Can be used for weighted/unweighted and directed/undirected networks.
Installation
Installation can be done through pip. You must have python version >= 3.7
pip install similarity-index-of-label-graph
Usage
The statement to import the package:
from similarity_index_of_label_graph_package import similarity_index_of_label_graph_class
Example:
>>> from networkx.generators.directed import gnr_graph
>>> from networkx.generators import spectral_graph_forge
>>> G1 = gnr_graph(100, 0.3, seed = 65535)
>>> G2 = gnr_graph(100, 0.3, seed = 1)
>>> G3 = spectral_graph_forge(G1, 0.6, seed = 65535)
>>> G4 = spectral_graph_forge(G2, 0.6, seed = 65535)
>>> similarity_index_of_label_graph = similarity_index_of_label_graph_class()
>>> similarity_index_of_label_graph(G1, G2)
0.7651719671571124
>>> similarity_index_of_label_graph(G1, G3)
-0.8580896120374933
>>> similarity_index_of_label_graph(G2, G4)
-0.8440113193737153
>>> similarity_index_of_label_graph(G3, G4)
0.7314483604914666
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for similarity_index_of_label_graph-2.0.1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4256cb38e347c4f122b8800f190936b179f911e25bd1422826b9c03d5f049199 |
|
MD5 | 4edbb20a3ef9835c3befc9431738a5fc |
|
BLAKE2b-256 | ca130816c1b93b07183c950d9d969e6cc383108405e6bbd9388e143043695bb6 |
Close
Hashes for similarity_index_of_label_graph-2.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b8b09f781570ba61a6613cf58d6dcfabd8a8e77e797f39315b8e1aaa95e0693b |
|
MD5 | 1f51399f71e9d25ebdb0fa3537d4441e |
|
BLAKE2b-256 | f767871110610162342eb26b0d0322f702374c2517fb81b6ecc53f1b82a16a06 |