摘要
论文基于CNKI数据库,运用文献计量、信息可视化和社会网络分析的方法,对我国2012-2020年大数据产业研究的核心期刊文献进行梳理,用Citespace构建了共现图谱,分析了该领域的发文趋势和主要研究机构;通过Ucinet进行社会网络分析,探讨了我国大数据产业研究的发展特点和高频关键词之间的联系情况。
Based on CNKI database,this paper uses the methods of bibliometrics,information visualization and social network analysis to sort out the literatures of the core journals of big data industry research in China from 2012 to 2020.Citespace is used to construct the co-occurrence map and analyze the publishing trend and major research institutions in this field.Through social network analysis by Ucinet,this paper discusses the development characteristics of China's big data industry research and the relationship between high-frequency keywords.
作者
杨子江
单铁城
李晨
李宪毅
杜阳
YANG Zi-jiang;SHAN Tie-cheng;LI Chen;LI Xian-yi;DU Yang(Institute of Automation,Qilu University of Technology(Shandong Academy of Sciences),Jinan 250100,China;Information Research Institute,Qilu University of Technology(Shandong Academic of Sciences),Jinan 250100,China;Shandong University School of Management,Jinan 250100,China)
出处
《中小企业管理与科技》
2021年第26期40-42,49,共4页
Management & Technology of SME
基金
山东省社会科学规划研究项目“山东省大数据产业战略布局和发展重点研究”(20CSDJ53)。
