Nutrition and Food Studies, Food Studies, New York University, New York, NY, 10003, USA.
Appetite. 2021 Apr 1;159:105048. doi: 10.1016/j.appet.2020.105048. Epub 2020 Dec 1.
Recently, scholars have applied network science, which examines interconnected systems, to the study of food recipes. By examining the current literature, this review paper analyses the contribution of network science to recipes, and finds evidence of two main contributions. First, the pioneer studies showed the potential of network science for reducing the complexity of recipes and proposing theories to model ingredient pairings and recipe evolution. The second contribution built upon the previous theories and expanded them to cover different regions of the world as the field moved towards understanding the granularity of human culture with rich and detailed studies that examine different cuisines as more recipe datasets became available. Network science studies of recipes allowed researchers to discover insights in recipes to explain sociocultural aspects of cuisines, and include large numbers of recipes in the analysis, which would be nearly impossible using other techniques.
最近,学者们将研究相互关联系统的网络科学应用于食品食谱的研究中。本文通过对现有文献的分析,探讨了网络科学对食谱的贡献,并发现了两个主要贡献。首先,先驱研究表明网络科学在简化食谱和提出理论模型以模拟成分搭配和食谱演化方面具有潜力。其次,第二个贡献是在前人的理论基础上,将其扩展到涵盖世界不同地区,随着研究领域向理解人类文化的粒度发展,通过使用不同的食谱数据集进行更详细的研究,以考察不同的菜肴,该领域取得了进展。网络科学对食谱的研究使研究人员能够发现食谱中的见解,以解释菜肴的社会文化方面,并在分析中包含大量的食谱,这是使用其他技术几乎不可能做到的。