摘要
大数据已经成为国内外科学界关注的热点。为全面刻画国内外人文社会科学领域大数据研究的动态景观,论文基于SSCI、CSSCI来源的相关文献数据,采用科学计量学的方法及指标、时间序列模型、共词分析和数据可视化研究方法对其开展趋势测度,并在此基础上揭示近年来国内外人文社会科学领域有关大数据的最新研究现状、研究热点、前沿主题及发展动向,为未来人文社会科学领域的大数据研究提供借鉴。
Big data has become a hot topic in domestic and international scientific circles. The paper aims to describe the dynamic landscape of big data research in the humanities and social sciences at home and abroad. The paper adopts the methods and indexes of scientific metrology, time series model, co - word analysis and data visualization method to measure the trend based on the relevant literature data of SSCI and CSSCI sources. On this basis, it reveals the recent research status, hot spots, frontier themes and development trends of the big data in the field of humanities and social sciences between domestic and abroad. It provides reference for the study of big data in the future humanities and social sciences.
作者
李天柱
王倩
LI Tian - zhu, WANG Qian(School of Business Administration, University of Science and Technology Liaoning, Anshan 114051, Chin)
出处
《自然辩证法研究》
CSSCI
北大核心
2018年第4期65-71,共7页
Studies in Dialectics of Nature
基金
国家自然科学基金项目(71772082
71472080
71372121)
关键词
大数据
人文社会科学
趋势测度
国内外比较
科学计量学
big data
humanities and social sciences
measurement of tendency
comparison of domestic and abroad
scientific metrology