Flavor Network

※ Node size : Ingredient prevalence in recipes  Link thickness : Number of shared compounds

This interactive network shows which ingredients go well together. The basic idea behind this is “Food Pairing Theory”, suggesting that different ingredients are more likely to pair well in a recipe when they share key flavors. For example, above network shows you that “beer” and “coffee”, which seem completely different, make a great match because they share similar flavors. Actually it tastes like "black beer" to me, for some reason.

For further information on “food pairing theory” and the data set used for constructing the network, please see the below paper:

"Flavor network and the principles of food pairing" Yong-Yeol Ahn, Sebastian E. Ahnert, James P. Bagrow and Albert-László Barabási

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