Exact(2)
While in Western cuisines ingredients that share flavor compounds are more frequently combined then one would expect from randomly generated recipes (with the same ingredient frequencies), in the Eastern cuisines ingredients with distinct flavor compounds are combined much more frequently than for random recipes.
The recipe set was generated by successively eliminating duplicative runs from a moderately large number of initial random recipes.
Similar(58)
This indicates, that on the first glance our synthetic ingredient popularity distribution which is generated by a random recipe selection process does not differ from our empirical observations.
When only focusing on the most popular ingredients ( > x min ) the truncated power law function as well as the log-normal function fit best as visible in panel B. For the synthetic ingredient popularity distribution which we obtained by simulating a region with a random recipe selection behavior also the truncated power law and the lognormal function are the best fits (cf. panel C).
In the year and a half I have been blogging about random thoughts, recipes, and parenting lessons I have learned, I have gained a steady stream of good traffic, and I am proud of that.
This indicates that the more active a region, the less random its recipe and ingredient preferences.
Furthermore, we can observe that the most active regions are in Austria (due to their higher number of clicks) and that the more active a region is, the less random their recipe and ingredient preferences are (according to their lower entropy values).
From those meeting the inclusion criteria we selected a random sample of 100 recipes using randomly generated numbers in proportion to the number of eligible recipes in each book.
We focus our analysis on a random subsample (of 1,000 recipes) of the five cuisines in the original dataset that contain more than 1,000 recipes.
When your Sim is cooking a recipe with a random ingredient (such as pancakes), they will use the first ingredient available in their inventory.
To date, metagenomic analyses of multiple random markers seem the most pragmatic recipe to study "what is out there" when informative species taxa cannot be easily identified.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com