Generate visual representations of the networks underlying video-gamebooks on YouTube https://youtube-maze.delab.re/
Go to file
Mattéo Delabre efb3ee1804
Fix exception pollution in retryable()
2021-12-04 12:39:55 -05:00
bin Turn into an Express server 2020-11-28 18:07:04 +01:00
files Fix systemd unit description 2020-11-29 02:17:15 +01:00
lib Fix exception pollution in retryable() 2021-12-04 12:39:55 -05:00
public Improve presentation text 2020-11-29 22:57:48 +01:00
routes Add progress information during exploration 2020-11-29 21:28:56 +01:00
.eslintrc Commit initial 2017-04-02 02:54:46 +02:00
.gitignore Add a real front page 2020-11-29 02:06:35 +01:00
LICENSE License under MIT 2020-11-28 15:16:09 +01:00
README.md Improve presentation text 2020-11-29 22:57:48 +01:00
app.mjs Add helmet 2020-11-29 02:12:59 +01:00
package-lock.json Add helmet 2020-11-29 02:12:59 +01:00
package.json Add helmet 2020-11-29 02:12:59 +01:00

README.md

YouTube Maze

Some YouTube creators have made video-gamebooks during which viewers are invited to make choices that influence the course of the narration. This is generally implemented by breaking up the video into short interlinked segments. This tool automatically generates visual representations of the networks underlying such games.

See it live →

How Does it Work?

The exploration algorithm automatically downloads metadata about each video from YouTube and then proceeds to a breadth-first search to generate a graph which is laid out using Graphviz. Only the links in the end screens and in the in-video cards are considered for the exploration.

Running Locally

You can also run the server locally, provided you have a working installation of Node.JS and Graphviz.

git clone https://forge.delab.re/matteo/youtube-maze.git
cd youtube-maze
npm install
npm start

If everything goes as planned, you should be able to access the server by opening http://localhost:3000 in your browser.

License

This software is made available under the MIT license. See the full license text →