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为梳理国际大数据研究领域的研究脉络和发展趋势,本文从关键词-时序研究视角出发,以WOS平台SSCI、SCI数据库中931篇大数据相关文献为研究样本,采用高被引文献网络、重要文献共引时序网络、关键词聚类网络等分析方法对大数据领域的知识基础发现、研究主题识别、主题演化分析展开研究。结果表明,大数据研究的知识基础集中在算法和语义层面,研究有从技术层面转向应用层面的发展趋势,大数据技术与营销学、医学、心理学、教育学、传播学等学科的交叉性研究以及大数据应用中隐私与开放的平衡将是未来的研究热点。
In order to sort out the research context and development trend in the field of international big data research, this paper, from the perspective of keyword-time series, takes 931 related articles of big data in SSCI and SCI database of WOS as research samples and adopts highly cited literature network, Literature cited time series network, keyword clustering network analysis methods such as the foundations of knowledge in the field of big data, research topic identification, thematic evolution analysis. The results show that the knowledge base of big data research focuses on algorithms and semantics, and the research trends from the technical level to the application level. The interdisciplinarity between big data technology and marketing science, medical science, psychology, pedagogy, and communication science Research and the balance between privacy and openness in big data applications will be hot topics for the future.