https://github.com/eigenvivek/spoti-graph

Python package for social network analysis of Spotify artists
https://github.com/eigenvivek/spoti-graph

network-analysis python

Last synced: 24 days ago
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Python package for social network analysis of Spotify artists

• Host: GitHub
• URL: https://github.com/eigenvivek/spoti-graph
• Owner: eigenvivek
• Created: 2019-04-30T17:08:16.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-02-10T23:10:53.000Z (almost 2 years ago)
• Last Synced: 2024-10-11T00:28:20.895Z (about 1 month ago)
• Topics: network-analysis, python
• Language: Python
• Homepage:
• Size: 196 KB
• Stars: 2
• Watchers: 0
• Forks: 0
• Open Issues: 10
• Metadata Files:
  • Readme: README.md

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README

        
# Spotify Networks

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/v715/Spotify-Net/master)

Spoti-Graph allows you to construct and analyze networks of related artists on Spotify!

## Overview

Spoti-Graph interfaces with the [Spotify Web API](https://developer.spotify.com/documentation/web-api/) to obtain all related artists. You provide a starting artist, and the program executes a depth-first search to find neighbors. Two artists are connected by an edge if they have collaborated on a popular song or if Spotify lists them as related.

## Installation & Demo

To run install the package, execute the following:

```

git clone https://github.com/v715/Spoti-Graph

cd Spoti-Graph

pip install -r requirements.txt

```

At this point, you'll need to get authentifcation from the Spofity API. See [here]() for instructions on how to do that. Make a new file called `credentials.py` in the main directory and store your `Client ID` and `Client ID Secret` in it.

Run the demo using `python demo.py`. Here's the result!

![demo](demo/farruko.png)