摘要
以Web of Science数据库中大数据背景下的人工智能相关文献作为数据样本,借助CiteSpace软件,对这一领域的研究分布、研究热点、前沿研究等进行分析。研究发现,美国在该领域具有绝对的领导力,中国缺少具有关键性的文献,并且形成了分别以中美为核心的两个合作子网络;该领域还没有出现具有关键性意义的研究;深度学习是这一领域的研究前沿。目前这一领域还只是大数据和人工智能两门学科的交叉,还没有出现能够使其成为新的边缘学科的趋势。分析结果有助于了解该领域的发展和现状,为后续的深入研究提供参考。
Taking the literature in the Web of Science database related to artificial intelligence in the context of big data as the data sample,and using the CiteSpace software to analyzes the literature’s research distribution,research hotspots,and frontier research.The study found that the United States has absolute leadership in this field,China lacks critical literature,and has formed two cooperative sub-networks whose centers are Chinese and American.There have not yet produced any critical researches.Deep learning is the research frontier in this field.At present,this field is only an intersection of big data and artificial intelligence.There is no trend to make it a new edge discipline.The results of the analysis will help to understand the development and status quo of the field and provide reference for further in-depth research.
作者
赖红波
赵逸维
LAI Hong-bo;ZHAO Yi-wei(School of Management,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《经济研究导刊》
2020年第15期135-139,共5页
Economic Research Guide
基金
2019高校智库内涵建设项目“‘人工智能+’背景下设计引领智能制造转型升级研究”(2019宣传-1)
2019年上海市政府发展研究中心“基于互联网+的上海创新发展”研究基地课题“上海人工智能与实体经济融合发展:机理、路径与政策研究”(2019-YJ-L01-A)。
关键词
大数据
人工智能
共被引网络
big data
artificial intelligence
co-citation analysis
