Aisa 1.0.0 | Coderz Repository

aisa 1.0.0

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Description:

aisa 1.0.0

Auto-Information State Aggregation
This is a python module aimed at partitioning networks through the maximization of Auto-Information.
If you use this code, please cite the following paper:

State aggregations in Markov chains and block models of networks,
Faccin, Schaub and Delvenne,
ArXiv 2005.00337

The module provides also a function to compute the Entrogram of a network with a suitable partition.
The Entrogram provides a concise, visual characterization of the Markovianity of the dynamics projected to the partition space.
In case you use this, please cite the following paper:

Entrograms and coarse graining of dynamics on complex networks,
Faccin, Schaub and Delvenne,
Journal of Complex Networks, 6(5) p. 661-678 (2018),
ArXiv 1711.01987

Getting the code
Requirements
The following modules are required to aisa to work properly:

numpy and scipy
networkx
tqdm (optional)

Install
Download the code here and unzip locally or clone the git repository from Github.
On the terminl run:
pip install --user path/to/module

Uninstall
On the terminl run:
$ pip uninstall aisa

Usage
Read the online documentation that describes all classes and functions of the module.
Some simple notebook examples on module usage are provided in the examples subfolder:

a simple example of computing and drawing the entrogram and detecting the partition that maximize the auto-information in a well know small social network, see in nbviewer
an example on how to build a range dependent network and find the partition that maximize auto-nformation, see in nbviewer

License
Copyright: Mauro Faccin (2020)
AISA is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
AISA is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
Check LICENSE.txt for details.

License:

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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