基于知识图谱的大数据研究可视化分析  

Visualization Analysis of Big Data Research Based on Knowledge Mapping

作　　者：王富祥[1,2] WANG Fu-xiang(School of Law Politics and Public Management, Huaiyin Normal University, Huai＇an Jiangsu ZZ3001, China School of Labor and Human Resources, Renmin University of China, Beijing 100872, China)

机构地区：[1]淮阴师范学院法政学院,江苏淮安223001 [2]中国人民大学劳动人事学院,北京100872

出　　处：《华北理工大学学报（社会科学版）》2017年第1期56-62,共7页Journal of North China University of Science and Technology(Social Science Edition)

摘　　要：为了深入探讨目前国内大数据领域的研究现状与趋势,从文献计量和知识图谱的角度分析大数据研究进展和热点问题。针对CNKI数据库中SCI、EI和CSSCI收录的"关键词=大数据"的2010-2015年间的1371条文献,采用文献计量分析法、知识图谱法,借助于可视化工具Citespace III对文献进行分析,探讨了大数据研究领域核心作者群、文献来源、机构分布、学科领域分布以及研究层析情况,研究了目前国内大数据领域的热点问题。In order to deeply discuss the trends of big data research in China,we studied the hotspots of big data from the perspective of bibliometric and knowledge mapping.In CNKI database,1371 literatures which are indexed by SCI、EI and CSSCI are based on big data.Bibliometric analysis、knowledge mapping and Citespace III software were used to discuss primal authors、reference source、institutions distribution、subject distribution and research rank in the field of big data,big data hotspots were also studied in this paper.

关 键 词：知识图谱 大数据 可视化 文献计量 

分 类 号：G250.252[文化科学—图书馆学]