Abstract

This paper proposes a terminological approach to understanding the dynamics of the development of scientific topics based on the analysis of the joint use of key terms. The results of studying the dynamics of the occurrence of key terms in SciVal topics in the field of immunology and microbiology are presented, which is the basis for the development of an algorithm for the distribution of SciVal topics by category: actively developing topics; topics that are in a stable state; losing relevance, or fading topics. The results of studying the dynamics of using common key terms in related topics are presented on the basis of information about related publications, namely, by the largest number of common article references. The dynamics of key terms is shown on the example of the topic SciVal T. 455 Intestinal Flora/Ruminococcaceae/Dysbiosis. It was found that the dynamics of the use of certain key terms decreased in the basic topic and shifted to related topics. Based on the general use of key terms and the presence of common references, a method based on SciVal topics is presented, which allows the most relevant classification of document arrays by subject categories at the publication level.

中文翻译：

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基于术语方法的研究课题的发展（例如，根据 Scopus-SciVal 数据的免疫学和微生物学）

摘要

本文基于对关键术语的联合使用的分析，提出了一种术语方法来理解科学主题发展的动态。介绍了免疫学和微生物学领域 SciVal 主题中关键术语出现动态的研究结果，这是开发 SciVal 主题按类别分布的算法的基础：积极开发主题；处于稳定状态的主题；失去相关性，或主题消失。研究在相关主题中使用公共关键术语的动态的结果是根据相关出版物的信息，即通过最大数量的公共文章引用来呈现的。关键术语的动态显示在主题 SciVal T. 455 Intestinal Flora/Ruminococcaceae/Dysbiosis 的示例中。发现某些关键术语的使用动态在基本主题中下降并转向相关主题。基于关键术语的一般使用和常见参考文献的存在，提出了一种基于 SciVal 主题的方法，该方法允许在出版物级别按主题类别对文档数组进行最相关的分类。