About

This script can be used to map out the channel landscape surrounding specific YouTube videos. It was developed as part of a programming project at TU Berlin. If you want to learn more about the project and how the generated graphs were evaluated, you may read the project report.

Getting Started

Prerequisites

• Download and install the latest versions of Python and Pip.
• Register for the YouTube Data API and retrieve your API key.

Setup

1. Clone the repository to your local machine as follows:

   git clone https://github.com/ashiven/youtube-networks.git

2. Navigate to the youtube-networks directory.

   cd ./youtube-networks

3. Install the necessary dependencies.

   pip install --user -r requirements.txt

4. Insert your API key(s) into the script.

   nano ./src/main.py

Usage

• Enter the following command to run the script:

  python ./src/main.py -s <link to a youtube video>

  parameter	alias	type	description	default
  --help	-h	Boolean	Shows argument usage
  --seed	-s	String	The initial YouTube link	None
  --depth	-d	Integer	The number of depth layers to calculate for the tree	2
  --width	-w	Integer	The number of related videos per video	3
  --apikey	-a	String	The API key to be used (if not provided, the first key from the list will be used)	None
  --labels	-l	String	Label description of the tree: title, videoId, channelId, channelName	title
  --graph	-g	Boolean	Convert the tree into a network graph	False
  --force	-f	Boolean	Calculate a large tree saved in a logfile until API key quota is reached	False
  --aggressive	-A	Boolean	Do the same as -f, exhausting all available API keys	False
  --maxdepth	-m	Integer	Max depth for tree compilation (must be a multiple of -d)	10000
  --importtrees	-i	String	Path to a logfile (will convert its contents into a network graph)	None
  --titles	-t	String	Path to a logfile (will extract the video titles for further topic analysis)	None

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