关键词-时序视域下国际大数据研究主题演化分析

The Evolution Analysis on the Research Topics of International Big Data from the Perspective of Keyword-Time Sequence

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 explore the research context and development tendency of international big data research field, this paper chooses 931 literatures about big data in ,%~,~CI and SCI database from WOS platform as research subjects from the perspective of key-word-time sequence. Using the methods of highly cited articles network, co-citation sequence network of important literatures and keywords clustering network, this paper studies the knowledge base discovery, research topics recognition and topics evolution analysis. The results show that knowledge base of big data researches is mainly about al- gorithm and semantic levels. The current researches develop from technology level to application level. The interdisciplinary researches between big data technology and marketing, medicine, psychology, pedagogy and communication sciences, and the halanee of privacy and openness in big data application will be the researche trends in the future.