摘要
大数据时代的到来让人们可以通过技术手段对于海量数据进行挖掘和分析来获取和筛选信息。本研究以汉斯出版社2011~2019年之间发布全种类期刊文章作为研究对象,研究OA类期刊在学术期刊发文类别、研究视角变迁规律,并对以此挖掘文章的所属学科、关键词、引用等数据要素背后的知识。主要方法是通过时间序列分析方法,建立以时间、文章所属学科、关键词等文章重要元素之间的关系,来从通过大数据分析后的聚合数据得出OA类期刊逐渐被主流接受等结论。本研究通过对OA类期刊相关信息及发展趋势进行深度解析,推动了人们对于OA类期刊的理解。
The advent of the era of big data allows people to mine and analyze massive amounts of data through technical means to obtain and filter information. This study took Hans Publishing House which published a full range of journal articles between 2011 and 2019 as the research object, studied the types of articles published by OA journals in academic journals, and the law of research perspectives, and explored the disciplines, keywords, and keywords of the articles and quoted the knowledge behind other data elements. The main method is to use time series analysis methods to establish the relationship between important elements of the article, such as time, the subject of the article, and keywords, to draw conclusions that OA journals are gradually being accepted by the mainstream from the aggregated data after big data analysis. This research promotes people's understanding of OA journals through in-depth analysis of relevant information and development trends of OA journals.
出处
《现代管理》
2020年第6期1134-1140,共7页
Modern Management
