摘要
以Web of Science中近20年2 709篇数据可视分析文献为研究对象,采用基于图谱分析的研究机构合作、文献共被引、关键词共现、突现词分析等方法,系统的回顾了数据可视分析方法研究的关注点、国际研究脉络及发展规律。研究发现,截止目前,已完成基础理论和体系架构研究,并在延伸新的典型应用领域。其中,美国和德国的研究机构具有较强科研水平,社交媒体数据、网络安全数据和地理信息数据已成为重要数据来源。分析结果有助于为我国数据可视分析领域的研究人员提供了研究现状及进展的参考。
With 2 709 data visual analysis papers from Web of Science in recent 20 years as the research object,the focus points,international research context and development law of data visual analysis method research are systematically reviewed by using such map analysis based methods as research institution cooperation,literature co-citation,keyword co-occurrence,and burst term analysis. The research found that up to now,researchers have completed the basic theory and system architecture research,and are expanding to new typical application fields;the research institutions of the United States and Germany have a high scientific research level;social media data,network security data and geographic information data have become important data sources. The analysis results can provide a reference in research status and progress for Chinese researchers in the data visual analysis field.
作者
乔萨础拉
努尔布力
苏芮
QIAO Sachula;Nurbol;SU Rui(School of Information Science and Engineering,Xinjiang University,Uramqi 830046,Chin)
出处
《现代电子技术》
北大核心
2018年第14期161-165,169,共6页
Modern Electronics Technique
基金
国家自然科学基金项目资助(61303231)
国家自然科学基金项目资助(61433012)~~