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Research and Analysis on the Field of Food Additive by Knowledge Graph Construction
Author(s) -
Xinyue Zhang,
Lu Yang,
Limin Zheng,
Cheng Guodong
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1237/3/032065
Subject(s) - centrality , bibliometrics , field (mathematics) , data science , social network analysis , graph , computer science , network analysis , web of science , knowledge management , information retrieval , world wide web , engineering , mathematics , political science , medline , social media , statistics , theoretical computer science , law , pure mathematics , electrical engineering
The purpose of this study is to make people have a more intuitive understanding of relevant research in the field of food additives. In this paper, the bibliometrics and network analysis methods are used to study the literatures in the field of food additive research, which are included in the core collection database of web of science. With the help of citespace 5.2.R2 software, this paper analyzes and visualizes the age, institutions, research hotspots and research trends. In addition, it also explores the hot research direction of the field through the node centrality, prominence words and word frequency evolution.

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