📝 License file & badges.

LICENSE

@@ -0,0 +1,21 @@
+The MIT License (MIT)
+
+Copyright (c) 2018 Łukasz Langa
+
+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.

README.md

@@ -2,10 +2,16 @@
 
 <img src="imgs/illustration.png" alt="banner" width="100%">
 
+<p align="center">
+<a href="https://github.com/SimonPop/onion_network/"><img alt="Project Version" src="https://img.shields.io/badge/version-1.0.0-blue"></a>
+<a href="https://www.python.org"><img alt="Python Version 3.8" src="https://img.shields.io/badge/Python-3.8-blue.svg?style=flat&logo=python&logoColor=white"></a>
+<a href="https://github.com/SimonPop/onion_network/LICENSE"><img alt="License: MIT" src="https://img.shields.io/badge/License-MIT-blue.svg"></a>
+<a href="https://github.com/psf/black"><img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg"></a>
+</p>
 
 Onion-structured networks are special kinds of scale-free networks with a special topologies. They can be decomposed into layers of similar degree nodes.
 
-This property gives them a strong resilience to attacks.
+This property gives them a strong resilience to node failure/removal attacks.
 
 This library can help you explore these networks, giving access to both a generation and visualization method. 
 
@@ -15,7 +21,7 @@ This library can help you explore these networks, giving access to both a genera
 
 TODO
 
-> Note: (Wu & Holme, 2011) describe a generation algorithm in their paper. This algorithm is implemented in this  repository. This algorithm can fail under certain circumstances. Therefore a `max_trial` number has been added so that the process can be tried different times.
+> Note: [(Wu & Holme, 2011)](https://arxiv.org/abs/1108.1841) describe a generation algorithm in their paper. This algorithm is implemented in this  repository. This algorithm can fail under certain circumstances. Therefore a `max_trial` number has been added so that the process can be tried different times.
 
 ### Example