Combining Bibliometric and Social Network Analysis to Understand the Scholarly Publications on Artificial Intelligence

IF 1.2 4区 管理学 0 HUMANITIES, MULTIDISCIPLINARY
Guijie Zhang, Yikai Liang, Fangfang Wei
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引用次数: 0

Abstract

This article aims to conduct a comprehensive study employing bibliometric and social network analysis to explore scholarly publications in artificial intelligence (AI). A co-authorship network analysis of countries/regions and institutions, a thematic analysis based on the co-occurrence of keywords, and a Spearman rank correlation test of social network analysis are conducted using VOSviewer and SPSS, respectively. According to the research power analysis, the United States and China are the most significant contributors to the relevant publications and hold dominant positions in the co-authorship network. Universities play a crucial role in promoting and carrying out relevant research. AI has been increasingly applied to address new problems and challenges in various fields in recent years. The Spearman rank correlation analysis indicates that research performance in AI is significantly and positively correlated with social network indicators. This article reveals a systematic picture of the research landscape of AI, which can provide a potential guide for future research.
结合文献计量学和社会网络分析理解人工智能学术出版物
本文旨在运用文献计量学和社会网络分析对人工智能(AI)领域的学术出版物进行综合研究。使用VOSviewer和SPSS分别进行了国家/地区和机构的合著网络分析、基于关键词共现的专题分析和社会网络分析的Spearman秩相关检验。根据研究力分析,美国和中国是相关出版物的最重要贡献者,在共同作者网络中占据主导地位。大学在推动和开展相关研究方面发挥着至关重要的作用。近年来,人工智能越来越多地应用于解决各个领域的新问题和新挑战。Spearman秩相关分析表明,人工智能研究绩效与社会网络指标显著正相关。本文揭示了人工智能研究的系统图景,可以为未来的研究提供潜在的指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.50
自引率
15.40%
发文量
12
期刊介绍: For more than 40 years, the Journal of Scholarly Publishing has been the authoritative voice of academic publishing. The journal combines philosophical analysis with practical advice and aspires to explain, argue, discuss, and question the large collection of new topics that continually arise in the publishing field. JSP has also examined the future of scholarly publishing, scholarship on the web, digitization, copyright, editorial policies, computer applications, marketing, and pricing models. It is the indispensable resource for academics and publishers that addresses the new challenges resulting from changes in technology and funding and from innovations in production and publishing.
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