Food loss and waste represent a global problem in the ethical, social, environmental, and economic contexts. The aim of this article is to identify leading concepts in studies on food loss and waste in management research by network analysis of the co-occurrence of keywords, via mapping of knowledge domains, a method used in bibliometrics. We analyzed 2202 records from the Scopus database on food waste management with the aid of the VOSviewer software tool. In particular, keyword co-occurrence analysis was adopted to visually explore knowledge bases, topic distribution, and research fronts in the field of food waste management research. Ten representative areas were found concentrated in main keywords, namely, food waste, waste management, food, anaerobic digestion, waste disposal, recycling, waste treatment, municipal solid waste, solid waste, and refuse disposal.

中文翻译：

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绘制食物垃圾管理研究的结构图：共同关键字分析。

在道德，社会，环境和经济方面，粮食损失和浪费是一个全球性问题。本文的目的是通过对关键词共现的网络分析，通过知识域的映射（一种文献计量学的方法），来识别管理研究中的食物损失和浪费研究中的领先概念。我们借助VOSviewer软件工具分析了Scopus数据库中2202条有关食物垃圾管理的记录。尤其是，采用关键词共现分析来直观地探索食物垃圾管理研究领域中的知识库，主题分布和研究前沿。发现有十个代表性领域集中在主要关键字上，分别是：食物浪费，废物管理，食物，厌氧消化，废物处理，回收，废物处理，城市固体废物，固体废物，