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基于VOSviewer的大数据时代隐私保护研究计量分析

Bibliometrics Analysis of Privacy Protection Research in Big Data Era Based on VOSviewer

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【作者】 胡笑梅; 吴利琰; 王平水;

【Author】 HU Xiao-mei;WU Li-yan;WANG Ping-shui;School of Management Science and Engineering,Anhui University of Finance and Economics;

【机构】 安徽财经大学管理科学与工程学院;

【摘要】 研究有关大数据时代隐私保护的现状,以期能够更加深入了解大数据时代隐私保护的特性,促进大数据的健康发展。采用文献计量法、可视化工具VOSviewer对2012-2018年大数据时代隐私保护研究的相关文献进行计量分析,通过年发文量、期刊分布、关键词频次和核心作者分析来总结大数据时代隐私保护研究现状。结果显示:现有大数据隐私保护研究存在研究内容重复度较高、视角单一和研究范围狭窄等问题。因此,未来研究应充分将理论与实践相结合,研究方法由定性研究向实证研究靠拢,同时注重新型隐私保护机制与模型的研究应用。

【Abstract】 The current status analysis of privacy protection in the era of big data can better understand the characteristics of privacy protection in the era of big data,and promote the healthy development of big data.Bibliometrics and visualization tool VOSviewer were used to perform quantitative analysis on the related literature on privacy protection research in the era of big data during 2012-2018,and summarized big data through annual publication volume,periodical distribution,keyword frequency and core author to analysis the current status of research on privacy protection in the era.Through quantitative analysis of related literature,the results showed that the existing research on big data privacy protection has problems such as high repetition of research content,single perspective and narrow research scope.Therefore,future research should fully integrate theory with practice,and the research method should be moved from qualitative research to empirical research,while focusing on the research and application of new privacy protection mechanisms and models.

【基金】 国家社会科学基金项目(16BTQ085);安徽财经大学研究生科研创新基金项目(ACYC2018228)
  • 【文献出处】 蚌埠学院学报 ,Journal of Bengbu University , 编辑部邮箱 ,2020年01期
  • 【分类号】TP311.13;TP309
  • 【被引频次】2
  • 【下载频次】360
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