摘要
新兴研究话题发现一直以来都是学者们广泛关注的研究问题。对于新兴研究话题动向的把握,不仅可从宏观层面为管理部门制定科技政策提供决策支持、以提高科研资金投入的效益、加速科学进步和发展,还可为科研工作者投身富有前景的研究领域提供具体的研究方向建议。对国际核心期刊上关于新兴研究话题发现的研究现状进行梳理发现,目前学术界对新兴研究话题及其相关概念尚无清晰的界定;相应地,新兴研究话题的探测方法也存在诸多的不足;探测新兴研究话题中所依据的指标繁杂多样。综述现有研究,本文给出新兴研究话题的概念及其特征的界定,比较新兴研究话题及其相关概念的联系与区别,并指出在新兴研究话题发现中应注意的具体问题并提出四个方面的工作展望。
The detection of emerging topics is a research area that has been increasingly attracting numerous scholars ?? attention. An extensive knowledge of the dynamics of emerging topics in science and technology not only provides our government with support to make decisions on policies regarding guidelines for scientific research in order to improve profits from financial investments on scientific research and to accelerate the development of science, but can also offer scientific professionals directions for promising research areas that can help them dedicate themselves to scientific discovery. Although we used summaries of relevant literature on this topic that were published in international core journals, we found no clear definition for“emerging topic”or its related terms. The resulting methodology, therefore, has some limitations to conquer. Indicators for identifying emerging topics vary across the literature. Based on our investigation on the studies in this area, we proposed a definition for“emerging topic”and identified its attributes. Moreover, we also compared“emerging topic”with its related terms and identified some areas worth noting when detecting emerging topics in scientific research. Finally, we presented four aspects of this topic that require further study in the future.
作者
卢超
侯海燕
Ding Ying
章成志
Lu Chao;Hou Haiyan;Ding Ying;Zhang Chengzhi(Department of Information Management, Nanjing University of Science & Technology, Nanjing 210094;WISE Lab, Dalian University of Technology, Dalian 116024;School of Informatics, Computing, and Engineering, Indiana University Bloomington, Bloomington 47408;Jiangsu Collaborative Innovation Center of Social Safety Science and Technology, Nanjing 210094;Jiangsu Key Laboratory of Data Engineering and Knowledge Service (Nanjing University), Nanjing 210093)
出处
《情报学报》
CSSCI
CSCD
北大核心
2019年第1期97-110,共14页
Journal of the China Society for Scientific and Technical Information
基金
国家社会科学基金重大项目"情报学学科建设与情报工作未来发展路径研究"(17ZDA291)
关键词
新兴研究话题发现
研究前沿
共被引分析
文献耦合分析
直接引用分析
discovering emerging topics
research front
co-citation analysis
bibliographic coupling analysis
direct citation analysis
作者简介
卢超,男,博士研究生,研究方向为文献计量、文本挖掘;侯海燕,女,教授,博士生导师,研究方向为文献计量、研究前沿发现等;Ding Ying,女,教授,博士生导师,研究方向为数据驱动知识发现、创新扩散等;章成志,男,教授,博士生导师,研究方向为信息组织、信息检索、文本挖掘与自然语言处理,E-mail:zhangcz@njust.edu.cn。
