Computational analysis of recipe structures and flavor networks

Abstract

This project explores how ingredients and flavor compounds interact across global cuisines using a data-driven approach. By leveraging structured datasets from RecipeDB and molecule-ingredient mappings, we analyze recipe structures, flavor-sharing indices, and statistical deviations from randomness. The study investigates regional trends in ingredient use and pairing logic, validated with customized Z-scores and delta metrics.