lucasmoschen/project-network-science

Final project for the discipline Network Science of the Ph.D. course in Mathematical Modelling at FGV EMAp.

Network analysis Chamber of Deputies Brazil

Project for the discipline of Network Science of the PhD course in Applied Mathematics at FGV.

Getting Started

Dependencies

• All code is written in Python 3.
• requests
• pandas
• numpy
• matplotlib
• seaborn
• networkx
• To download the data, we use DadosAbertosBrasil Package, which can be installed with:

pip install DadosAbertosBrasil

• For the progress meters, we use tqdm, which can be installed with:

pip install tqdm

Setup

• Download and prepare deputies, votes, and propositions data:

python pyscripts\prepare_data.py

Description of files

Non-Python files:

filename	description
README.md	Text file (markdown format) description of the project.
notes\preliminary-project.pdf	Pdf file used for the Preliminary Presentation of the project.

Python Scripts:

filename	description
prepare_data.py	Download and prepare deputies, votes, and propositions data.

Python Notebooks:

filename	description
data_exploration.ipynb	Experiments regarding how to obtain the data and how to use it.
primary_network_construction.ipynb	Construction of network from preliminary presentation.
network_construction.ipynb	Experiments regarding how to define te links between deputies.