pathcensus

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0.1 pathcensus-0.1-py3-none-any.whl

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Project: pathcensus
Version: 0.1
Filename: pathcensus-0.1-py3-none-any.whl
Download: [link]
Size: 44195
MD5: e43ea9012b6cab15b6a0519e47fa35d2
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Uploaded: 2022-09-21 00:40:31 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: pathcensus
Version: 0.1
Summary: Structural similarity and complementarity coefficients for undirected networks based on efficient counting
Author-Email: Szymon Talaga <stalaga[at]protonmail.com>
Project-Url: documentation, https://pathcensus.readthedocs.io/en/latest/
Project-Url: repository, https://github.com/sztal/pathcensus
Project-Url: changelog, https://github.com/sztal/pathcensus/blob/master/HISTORY.rst
License: The MIT License (MIT) Copyright (c) 2021 Szymon Talaga Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Keywords: networks,graphs,undirected,weighted,bipartite,network science,network geometry,triples,quadruples,triangles,quadrangles,path census,motifs,relational principles,homophily,similarity,complementarity,structural equivalence,random geometric graph,latent space model,exponential random graph,ergm
Classifier: Programming Language :: Python :: 3
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
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Description-Content-Type: text/x-rst
License-File: LICENSE
License-File: AUTHORS.rst
[Description omitted; length: 11210 characters]

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top_level.txt

pathcensus