大数据领域演进路径、研究热点与前沿的可视化分析

本文以Web of Science为数据源,运用信息可视化软件CiteSpace Ⅲ对所搜集的有关大数据研究的文献进行聚类分析和共引分析。通过CiteSpace Ⅲ生成的知识图谱并结合相关文献的研究内容,从演进路径、研究热点以及研究前沿三方面对大数据研究进行量化分析和解读。6篇关键节点文献很好地展示了大数据研究的演进路径,13个高频关键词和10个突现词表征了大数据的研究热点与研究前沿,得出结论:大数据的研究经历了从大数据的计算模型、具体概念、复杂性科学的理论研究到有关大数据社会科学层面、应用型实践层面研究的历程;大数据处理技术、大数据挖掘及大数据应用是大数据研究的三大热点;对大数据本身的研究、处理技术的研究、数据挖掘、系统、模型和网络的研究以及其绩效评估和数据管理的研究是大数据的研究前沿和发展趋势,文章旨在为现阶段大数据研究工作的深入开展提供参考。

Visualization Analysis of Evolution Path,Research Hotspots and Frontiers of Big Data

This paper used the literatures which were retrieved from the Web of Science with the capital of Big Data as data sources, and conducted the cluster analysis and co-citation by means of the information visualization software CiteSpace Ⅲ. Based on the knowledge mapping generated by Citespace Ⅲ and the relevant literature, it performed statistical analysis and data interpretation from three perspectives, namely, research hotspots, subject content and developing trends. 6 critical node documents perfectly showed the evolution path of big data; 13 high frequency keywords and 5 burst terms indicated the research hotspots and research fronts. Conclusion: the research of big data had experienced a process which from the big data calculation model, the specific concept, the theory research of complexity science to the research on big data of social science level and applied practice level, three research hotspots: big data processing, data mining and data application, the research frontier and developing trend of big data: the study of big data itself, the research of processing technology, the research of data mining and system, model and network, data management and performance evaluation, this paper aimed at providing the reference for carrying out the present research of big data.