大数据可视化分析在支撑智库研究中的应用与创新

• 作者： 熊励 ¹ 王锟 ¹ 钟美芝 ¹
• 作者单位：
  1.  上海大学管理学院
• 通讯作者： 熊励  Email:xiongli8@shu.edu.cn
• 提交时间：2018-10-19

摘要: [目的/意义]大数据环境下的智库研究旨在对海量的信息进行有效采集、处理、分析，挖掘信息中蕴含的逻辑规律，并将大量的无规则数据可视化表示，这是当今智库研究的热点。[方法/过程]文章通过分析国内外智库和大数据可视化的研究现状，整理了目前运用大数据可视化进行智库研究的相关理论，剖析大数据可视化方法在智库研究中的应用与创新。[结果/结论]结果表明：我国目前对智库研究的方法还比较单一，大数据可视化的智库研究方法发展迅速，包括支持智库大数据可视化分析的海量数据处理、可视化算法、图形可视化、人机交互、分布式处理等技术。大数据可视化分析在智库研究中的应用有助于智库数据信息直观展示、动态图形可视化对比分析、支持可视化分析的用户交互、智库数据资源集聚共享、提升智库作用和影响力。

Abstract: [Purpose/significance] Think tanks research in the big data environment aims at collecting, processing, analyzing, and digging out the logical rules contained in the massive information effectively, and representing large amounts of irregular data by visualization methods, which is a hot topic of research on think tanks. [Method/process] This article started with analyzing the current research status of think tanks and the big data visualization at home and abroad, and related theories of think tanks research methods based on big data visualization were sorted out. The application and innovation of big data visualization methods in supporting think tanks research were analyzed, and CiteSpaceⅡ software was used to analyze the research status of think tanks research in China. [Result/conclusion] The results show that the research methods of think tanks in China were relatively simple at present, and big data visualization research has two features: multi-disciplinary and multi-industry. Think tanks research methods based on big data visualization have developed rapidly, including techniques of the massive data process, the visualization algorithm, the graphic visualization, the human-computer interaction, the distributed processing and so on, which can support the big data visualization analysis in think tanks research. The application of big data visualization analysis in think tanks research can help think tanks process data efficiently, make decisions scientifically and accurately, visualize complex graphics, simplify complex problems, enhance users’ interaction well, agglomerate and share resources, and enhance their role and influence in the application research of think tanks.

• 分类： 图书馆学、情报学 >> 情报学
• 引用： ChinaXiv:201810.00110 (或此版本 ChinaXiv:201810.00110V1)
  doi:10.12074/201810.00110
  CSTR:32003.36.ChinaXiv.201810.00110.V1
• 推荐引用方式： 熊励,王锟,钟美芝.(2018).大数据可视化分析在支撑智库研究中的应用与创新.智库理论与实践.[ChinaXiv:201810.00110] (点此复制)