图书情报知识 ›› 2018, Vol. 0 ›› Issue (6): 15-28.doi: 10.13366/j.dik.2018.06.015

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我国情报学科理论研究形态及学术影响力的全数据分析

王芳,赵洪,张维冲   

  • 出版日期:2018-11-10 发布日期:2018-11-10

Full-scale Data Analysis on the Patterns and Academic Influence of Information Science Theoretical Research in China

  • Online:2018-11-10 Published:2018-11-10

摘要:

理论在学科发展和科学研究中具有核心作用,学者在研究中应用和发展理论是其所在领域学术成熟性的标志。长期以来,理论贫困和学科独立性问题一直困扰着情报学的学科建设和发展。为揭示我国情报学研究中理论的应用和发展情况,文章对国内本学科期刊论文的理论研究形态及其学术影响力进行统计和分析。区别于其他同类研究以关键词检索和抽样统计为基础的一般性分析,文章对2008—2017年52种图书情报学期刊的全部学术论文进行分析:利用规则和人工筛选的方式从107,740篇学术论文中区分出40,260篇情报学研究论文作为数据对象,采用基于自然语言处理和深度学习方法构建的理论识别模型,对论文所研究的理论进行自动识别并人工审核;在对情报学理论研究进行时间、来源、主题和形态等多维度统计的基础上,比较分析其在情报学科、图书情报学科、社会学科和全学科研究中的学术影响力,发现了若干有价值的现象。文章也分析了当前我国情报学理论研究的特点,并讨论了现阶段理论研究中存在的主要问题,认为当前我国情报学理论研究中需要解决的主要问题是如何从结构/关系型理论的研究转向演变型理论研究,科学地构建新的演变型理论和完善现有的演变型理论,并探究对象间的因果关系。该研究可用于了解情报学的理论研究结构、厘清学科理论研究的不足和需求、指导学科理论的发展和学科建设。

关键词: 情报学, 理论研究形态, 理论研究领域, 学术影响力, 理论识别模型, 深度学习

Abstract:

Theory plays a key role in disciplinary development and scientific research. The application and development of theory in research represent the academic maturity of the field, Theoretical poverty and discipline independence has been a problem of information science all the time. In order to investigate the application and development of theory in information science research in China, this paper conducted statistics and analysis on the theoretical research patterns and academic influence of academic journal articles. Instead of keyword search and sampling statistics which were used by other similar research, this paper analyzed all the 52 kinds of LIS journal papers from 2008 to 2017. By using rules and artificial selection, 40260 information science papers were identified and chosen from the 107740 academic papers. Then a theoretical recognition model was developed by using Natural Language Processing and deep learning method with automatic identification and manual auditing. On the basis of multidimensional statistics including time, journal source, researching field and patterns of these papers, the respective influences of theoretical research on information science, library and information science, social disciplines and the general subject study were compared and analyzed. Finally several important conclusions have been drawn. This study will have great significance for comprehensively understanding the theoretical research structure of information science, illustrating the shortage and demand of theoretical research, and will also help guide the construction of the theoretical system and the development of the discipline.

Key words: Information science, Theoretical research patterns, Theoretical research fields, Academic influence, Theoretical terms recognition model, Deep learning