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[目的 /意义]研究大数据应用领域的研究现状和发展趋势,并揭示其发展规律。[方法 /过程]制定大数据应用技术的数据检索策略,选取1990-2015年相关文献研究数据,借助计量软件VP(Vantage Point)、统计分析软件SPSS和Microsoft Excel等工具,分别从载文量分布、期刊分布和作者分布3个层面,验证并分析该领域文献发展是否符合普赖斯科学文献增长规律、布拉德福定律以及洛特卡定律。[结果/结论 ]大数据应用领域相关论文自1990年开始,经过一段时间的稳步发展后,至2012年开始显现突飞猛进的发展,其文献发展符合普赖斯科学文献增长规律;文献样本的期刊分布基本符合布拉德福定律,并已形成核心期刊群,其中包括BMC BIOINFORMATICS、SENSORS等;该领域著者分布与洛特卡定律相差很大,尚未形成较具影响力的核心著者群。
[Purpose / Significance] To study the research status and development trend of big data applications, and to reveal its law of development. [Methods / Procedures] To develop a data retrieval strategy for big data application technology, select relevant literature research data from 1990 to 2015, and use tools such as VP (Vantage Point), SPSS and Microsoft Excel, Periodical distribution and author distribution. The paper verifies and analyzes whether the literature development in this field accords with Price Law, Bradford’s Law and Lotka’s Law. [Results / Conclusions] Since 1990, after a period of steady development, relevant papers in the field of big data applications began to show rapid development by 2012, and the development of its literature complied with Price’s scientific literature growth pattern. The periodical distribution of literature samples Basically complies with Bradford’s law and has formed a core periodical group, including BMC BIOINFORMATICS, SENSORS, etc. There is a great difference between the author distribution in this field and Lotka’s law, and no influential core group has yet formed.