Social network statistics

This project is based on MAE5908 - Estatística de Redes Sociais (2020) course, part of Universidade de São Paulo Statistics department (IME-USP) master's program.

Based on work of professor Jefferson Antonio Galves and Kadmo de Souza Laxa

This template is an adpatation of Felipe Penha py-greenhouse project

---

Project Organization ✏️

  ├── artifacts    <- Trained and serialized models, pipelines, etc. 
  │ 
  ├── data         <- saved data
  │
  ├── notebooks    <- Jupyter notebooks. 
  |
  ├── src
  │  ├── models.py <- Script of available models
  │  ├── plots.py  <- Script to plot runs results
  │  └── utils.py  <- Script for helper functions.
  │
  ├── references   <- Data dictionaries, manuals, and all other explanatory materials.
  │
  ├── reports      <- Generated analysis as HTML, PDF, LaTeX, etc.
  │
  ├── docker-compose.yml  <- instructions to build and run containers/services.
  ├── Dockerfile          <- Dockerfile for base-image.
  ├── Makefile            <- Wrapper for the project cli instructions.
  ├── requirements.txt    <- The requirements file with installed libraries.
  └── README.md           <- The top-level README for developers using this project. 

---

Quick Start 🕙

This is a template repository. Follow this link for instructions to create a repository from a template.

First, make sure make, git, docker and docker-compose are installed in your system.

These are requirements for your local machine, ideally a Debian Linux OS (the following can be achieved in Widowns by downloading WSL, that starts a Linux VM inside Windows 😕):

docker

Follow the instructions in the docker docs to ensure that $USER has root access to docker.

docker-compose

Install docker compose to declarativelly manage creation of docker images and containers. The docker compose statements are wrapped in Makefile

VS Code

In your local machine:

1. install VS Code,

2. use Crtl+Shift+P to access commands

3. In commands, search Extensions: install extensionsand install:

   • Docker:ms-azuretools.vscode-docker

   • Remote SSH - to connect via SSH to Tenbu's Data Science Server

   • Python

   • ms-vscode-remote.remote-containers

   • [extra] Dracula is a good theme extension 😉

   • [extra] Edit csv (good for handling .csv files)

git

sudo apt-get git

make

sudo apt-get update
sudo apt-get install build-essential

The development work is performed via make commands.

To see the most up to date list of available commands run

$ make help

---