基于CiteSpace的国内交叉学科人才培养研究的知识图谱分析

The Knowledge Graph Analysis of Interdisciplinary Talent Cultivation Research in China Based on CiteSpace

摘要:

知识生产模式的变革凸显出交叉学科人才培养的必然与迫切，交叉学科人才培养是“四新”学科建设的重要构成，是经济社会发展的重要推力。为系统勾画中国交叉学科人才培养的研究图景，运用CiteSpace知识图谱可视化分析法，对中国知网（CNKI）数据库中收录的764篇核心期刊文献，从核心作者、核心机构、研究热点和趋势等方面进行统计分析。研究发现：（1）受国家政策指引，相关研究自2017年起呈爆发式增长，但尚未形成核心作者及机构群，合作网络密度分散；（2）研究内容集中宽泛，尚未构建科学自主知识体系；（3）研究热点贴合政策新要求，更需契合人工智能时代数字经济社会发展新型态。由此提出未来研究需注重搭建学术共同体、构建本土知识体系、创新人才培养方式的相关建议。

Abstract:

The change of knowledge production mode highlights the necessity and urgency of interdisciplinary talent cultivation, which is an important component of the new development of discipline construction, and is a crucial driving force for economic and social development. In order to systematically outline the image of relevant research, knowledge map analysis based on CiteSpace is used to statistically analyze 764 core journal literature records included in China National Knowledge Infrastructure（CNKI）database in terms of core authors, core institutes, research hotspots and trends. What is found is as follows: (1) Relevant research guided by national policies has exploded since 2017, but core groups of authors and institutions have not formed, and the density of collaborative networks is fragmented; (2) The content of contemporary research is broadly focused and has not yet built a scientific and indigenous knowledge system; (3) Current research hotspots meet the new requirements of national policy while also need to be in line with the new state of digital economy in the age of artificial intelligence. As a result, suggestions including building an academic community, constructing an indigenous knowledge system and innovating talent cultivation methods are put forward.