Fascinating food networks, in neo4j by Rik Van Bruggen.
From the post:
When you’re passionate about graphs like I am, you start to see them everywhere. And as we are getting closer to the food-heavy season of the year, it’s perhaps no coincidence that this graph I will be introducing in this blogpost – is about food.
A couple of weeks ago, when I woke up early (!) Sunday morning to get “pistolets” and croissants for my family from our local bakery, I immediately took notice when I saw a graph behind the bakery counter. It was a “foodpairing” graph, sponsored by the people of Puratos – a wholesale provider of bakery products, grains, etc. So I get home and start googling, and before you know it I find some terribly interesting research by Yong-Yeol (YY) Ahn, featured in a Wired article, and in Scientific American, and in Nature. This researcher had done some fascinating work in understanding al 57k recipes from Epicurious, Allrecipes and Menupan, their composing ingredients and ingredient categories, their origin and – perhaps most fascinating of all – their chemical compounds.
Rik walks you through acquiring some of these datasets, cleaning them up and then loading the datasets into Neo4j.
My only suggestion is that before you start browsing the dataset that you have cookies and milk within easy reach. 😉