我国图情领域有关数据研究的态势分析——基于灰色预测算法

发布时间：2018-01-13 10:27

本文关键词：我国图情领域有关数据研究的态势分析——基于灰色预测算法　出处：《情报杂志》2017年08期 　论文类型：期刊论文

【摘要】：[目的/意义]为了深入揭示数据主题的发展轨迹和规律,探析未来发展趋势,为后续相关研究提供参考借鉴。[方法/过程]对近五年来(2012-2016年)我国中文社会科学引文索引收录的图书情报学的18种期刊所刊载论文及其题录数据进行计量研究,并采用灰色预测GM(1,1)模型,对最具有代表性的6个数据主题类团进行计算,预测这些关键词所代表的研究主题在之后两年可能出现的频率,同时利用R语言依次进行模型精度检测和拟合,最后逐个分析各个主题类团的研究现状和研究趋势。[结果/结论]研究发现:数据主题的相关研究在近五年持续增长;大数据类主题研究预计在未来两年仍然保持高速增长的趋势,并与各个学科产生深度交叉;数据组织类、数据对象类、数据管理类和数据应用服务类预计持续保持小幅增长趋势;单纯研究数据分析类主题的关键词热度预计有所下降。
[Abstract]:[Objective / significance] in order to reveal the development track and law of the data subject, to explore the future development trend, and to provide reference for the follow-up research. [Methods / process] the papers published in 18 journals of library and information science included in the Chinese social science citation index in recent five years (2012-2016) were studied quantitatively. Using the grey prediction GM-1) model, the most representative six data topic clusters are calculated, and the frequency of the research topics represented by these keywords in the next two years is predicted. At the same time, R language is used to detect and fit the model precision in turn. Finally, the current research situation and research trend of each topic cluster are analyzed one by one. [Results / conclusion] the study found that: the related research on data subjects continued to increase in the last five years; Major data subject studies are expected to maintain a trend of high growth over the next two years and generate deep intersections with various disciplines; Data organization class, data object class, data management class and data application service class are expected to maintain a small growth trend; The keyword heat of pure research data analysis kind of topic is expected to decrease somewhat.
【作者单位】：南京大学信息管理学院;贵州财经大学信息学院;南京邮电大学管理学院;
【基金】：商务部国际贸易经济合作研究院联合基金“大数据环境下的农业数据资产管理研究”(编号:2016SWBZD17)研究成果之一
【分类号】：G353.1
【正文快照】： Zhang Ning1,2Yuan Qinjian1Shen Hongzhou3(1.Information Management School,Nanjing University,Nanjing 210023;2.Information School,Guizhou University of Finance and Economics,Guiyang 550025;3.M anagement School,Nanjing University of Posts and Telecommunicat

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