Determining the most influential users from the multimedia social network YouTube by creating a graph with the most important users / channels.

Image taken from: Fan, Yujie & Zhang, Yiming & Ye, Yanfang & Zheng, Wanhong. (2017). Social Media for Opioid Addiction Epidemiology: Automatic Detection of Opioid Addicts from Twitter and Case Studies, 1259-1267

The main components of the application are

1. Information Gathering - YouTube

2. Data Storage - MongoDB

3. Analysis

   1. ranking algorithms
   2. sentiment detection

influential_users
├── youtube_sentiment_analysis
|   ├── data
|   ├── modules
|   |   ├── __init__.py
|   |   ├── crawler.py
|   |   ├── analysis.py
|   |   └── storage.py
|   ├── __init__.py
|   └── __main__.py
├── LICENSE
├── README.md
├── requirements.txt
└── setup.py

1. Academic papers

2. Web content