Generate visual representations of the networks underlying video-gamebooks on YouTube https://youtube-maze.delab.re/

Přejít na soubor

Mattéo Delabre 57abc1a1bb Forward fetch error message to user		2021-12-04 12:40:11 -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	Forward fetch error message to user	2021-12-04 12:40:11 -05:00
.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 →