NetIn
========
.. image:: https://github.com/CSHVienna/NetworkInequalities/blob/main/docs/source/netin-logo.png?raw=true
:width: 100
:alt: NetworkInequality
NetIn is a python package for network inference.
It is based on the NetworkX package and provides a set of methods to study network inequalities.
The package is currently under development and will be updated regularly.
.. image:: https://github.com/CSHVienna/NetworkInequalities/actions/workflows/python-app.yml/badge.svg
:target: https://github.com/CSHVienna/NetworkInequalities/actions/workflows/python-app.yml
.. image:: https://img.shields.io/badge/python-3.9-blue.svg
:target: https://www.python.org/downloads/release/python-3916/
.. image:: https://img.shields.io/badge/NetworkX-3.1-blue.svg
:target: https://networkx.org/
.. image:: https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg
:target: https://creativecommons.org/licenses/by-nc-sa/4.0/
- **Website:** https://www.networkinequality.com
- **Documentation:** https://cshvienna.github.io/NetworkInequalities
- **Source:** https://github.com/CSHVienna/NetworkInequalities
- **Bug reports:** https://github.com/CSHVienna/NetworkInequalities/issues
- **GitHub Discussions:** https://github.com/CSHVienna/NetworkInequalities/discussions
- **Mailing list:** https://groups.google.com/forum/#!forum/netin-dev
Simple examples
---------------
Create an undirected network with preferential attachment and homophily.
.. code:: pycon
>>> from netin import PAH
>>> G = PAH(n=200, k=2, f_m=0.2, h_MM=0.1, h_mm=0.9, seed=42)
>>> G.generate()
>>> G.info()
Create a directed network with preferential attachment and homophily.
.. code:: pycon
>>> from netin import DPAH
>>> G = DPAH(n=200, f_m=0.2, d=0.02, h_MM=0.1, h_mm=0.6, plo_M=2.0, plo_m=2.0, seed=42)
>>> G.generate()
>>> G.info()
Install
-------
Install the latest version of NetIn::
$ pip install netin
Install from source::
$ git clone
$ cd NetworkInequalities
$ pip install -e .
Bugs
----
Please report any bugs that you find `here <https://github.com/CSHVienna/NetworkInequalities/issues>`_.
Or, even better, fork the repository on `GitHub <https://github.com/CSHVienna/NetworkInequalities>`_
and create a pull request (PR). We welcome all changes, big or small, and we
will help you make the PR if you are new to `git`.
License
-------
Released under Creative Commons by-nc-sa 4.0 (see `LICENSE`)::
Copyright (C) 2023-2024 NetIn Developers
Fariba Karimi <karimi@csh.ac.at>
Lisette Espin-Noboa <espin@csh.ac.at>
Jan Bachmann <bachmann@csh.ac.at>
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"description": "NetIn\n========\n\n.. image:: https://github.com/CSHVienna/NetworkInequalities/blob/main/docs/source/netin-logo.png?raw=true\n :width: 100\n :alt: NetworkInequality\n\nNetIn is a python package for network inference.\nIt is based on the NetworkX package and provides a set of methods to study network inequalities.\nThe package is currently under development and will be updated regularly.\n\n.. image:: https://github.com/CSHVienna/NetworkInequalities/actions/workflows/python-app.yml/badge.svg\n :target: https://github.com/CSHVienna/NetworkInequalities/actions/workflows/python-app.yml\n\n.. image:: https://img.shields.io/badge/python-3.9-blue.svg\n :target: https://www.python.org/downloads/release/python-3916/\n\n.. image:: https://img.shields.io/badge/NetworkX-3.1-blue.svg\n :target: https://networkx.org/\n\n.. image:: https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg\n :target: https://creativecommons.org/licenses/by-nc-sa/4.0/\n\n- **Website:** https://www.networkinequality.com\n- **Documentation:** https://cshvienna.github.io/NetworkInequalities\n- **Source:** https://github.com/CSHVienna/NetworkInequalities\n- **Bug reports:** https://github.com/CSHVienna/NetworkInequalities/issues\n- **GitHub Discussions:** https://github.com/CSHVienna/NetworkInequalities/discussions\n- **Mailing list:** https://groups.google.com/forum/#!forum/netin-dev\n\nSimple examples\n---------------\n\nCreate an undirected network with preferential attachment and homophily.\n\n.. code:: pycon\n\n >>> from netin import PAH\n >>> G = PAH(n=200, k=2, f_m=0.2, h_MM=0.1, h_mm=0.9, seed=42)\n >>> G.generate()\n >>> G.info()\n\n\nCreate a directed network with preferential attachment and homophily.\n\n.. code:: pycon\n\n >>> from netin import DPAH\n >>> G = DPAH(n=200, f_m=0.2, d=0.02, h_MM=0.1, h_mm=0.6, plo_M=2.0, plo_m=2.0, seed=42)\n >>> G.generate()\n >>> G.info()\n\nInstall\n-------\n\nInstall the latest version of NetIn::\n\n $ pip install netin\n\n\nInstall from source::\n\n $ git clone\n $ cd NetworkInequalities\n $ pip install -e .\n\n\nBugs\n----\n\nPlease report any bugs that you find `here <https://github.com/CSHVienna/NetworkInequalities/issues>`_.\nOr, even better, fork the repository on `GitHub <https://github.com/CSHVienna/NetworkInequalities>`_\nand create a pull request (PR). We welcome all changes, big or small, and we\nwill help you make the PR if you are new to `git`.\n\nLicense\n-------\n\nReleased under Creative Commons by-nc-sa 4.0 (see `LICENSE`)::\n\n Copyright (C) 2023-2024 NetIn Developers\n Fariba Karimi <karimi@csh.ac.at>\n Lisette Espin-Noboa <espin@csh.ac.at>\n Jan Bachmann <bachmann@csh.ac.at>\n\n",
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