Metadata-Version: 2.1
Name: devaa
Version: 0.1.0
Summary: Simple package counting number of words
Author: Andrea Nicoletta
Author-email: a.nicoletta996@gmail.com
Maintainer-email: Andrea Nicoletta <a.nicoletta996@gmail.com>
License: MIT License
        
        Copyright (c) 2022 AN
        
        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.
Project-URL: homepage, https://github.com/Anico2/devaa
Project-URL: Bug Tracker, https://github.com/Anico2/devaa/issues
Keywords: words,counter,foo,bar
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Provides-Extra: test
License-File: LICENSE.txt

# Devaa 
### Andrea Nicoletta - 2022 <br> <br> <br>

Documentation on [GitHub](https://github.com/Anico2/devaa)<br>


<br> <br>
Table of Contents:

1. [Analysis](#1-Analysis) <br>
    1.1. [Eccentricity](#1.1-Eccentricity) <br>
    1.2. [Centrality Measures](#1.2-Centrality-Measures) <br>
    1.3. [Small World Property](#1.3-Small-World-Property) <br>
    1.4. [Friendship Paradox](#1.4-Friendship-Paradox) <br>
    1.5. [Degree Distribution](#1.5-Degree-Distribution) <br>
    1.6. [Clustering Coefficient](#1.6-Clustering-Coefficient) <br>
    1.7. [Assortativity](#1.7-Assortativity) <br>
    1.8. [Bridges](#1.8-Bridges) <br>
    1.9. [Robustness](#1.9-Robustness) <br>
2. [Community Detection](#2-Community-Detection) <br>
3. [Dynamics](#3-Dynamics) <br>
    3.1. [SEIS Model](#3.1-SEIS-Model) <br>
    3.2. [Threshold Model](#3.2-Threshold-Model) <br>
    3.3. [Algorithmic Bias Model](#3.3-Algorithmic-Bias-Model) <br>
    3.4. [Dynamics and Communities](#3.4-Dynamics-and-Communities) <br>
    &emsp; 3.4.1. [Threshold Model](#3.4.1-Threshold-Model) <br>
    &emsp; 3.4.2. [Independent Cascades](#3.4.2-Independent-Cascades) <br>
4. [Random Models](#4-Random-Models) <br>
5. [Appendix: GEMSEC](#5-Appendix:-GEMSEC) <br>
- [End](#End)
