面向科研服务的多层次作者分析模型及实证研究

Multi-level Author Analysis Model for Scientific Research Service and Empirical Study

[目的／意义]以科研人员的学科服务需求分析为基础，构建面向科研服务的多层次作者分析模型，并进行实证研究，以期为深化科研服务提供参考。[方法／过程]通过对同一专业、处于不同研究水平的科研人员进行需求调研发现，不同层次的科研人员针对同一问题的具体分析需求是不同的；进而以作者分析为例，提出面向入门型、专注型、管理型科研人员的多层次作者分析模型，并以中国语言文字学2001—2015年核心期刊论文为例，综合利用文献计量方法和工具解答不同层次的作者分析需求。[结果／结论]实验结果表明，利用这一模型能识别出这15年间中国语言文字学领域的核心作者群、代表性学者、研究团体、合作情况，以及近期代表性学者和持续代表性学者。分析模型具有普适性，能够提高图书馆员在科研服务中的融合度。

[ Purpose/significance] Based on the analysis of subject service needs of researchers, this paper con- structs a multi-level author analysis model for scientific research service and empirical study, this can provide references for deep-level scientific research service. [ Method/process] By investigating the needs of researchers that from the same discipline but with different research levels, this paper found that researchers with different levels have different require- ments for specific analysis. Then, by taking the author analysis as an example, this paper proposed a demand model for author analysis corresponding to entry researchers, preoccupied researchers and managed researchers. Finally, in order to illustrate the model, this paper took the core journal papers of Chinese language and characters from 2001 to 2015 as an example, and used different bibliometric methods and softwares to answer the needs of analysis requirements for authors with different research levels. [ Result/conclusion ] Experimental results show that this model can identify some facts a- bout Chinese language and characters during these 15 years, including core author groups, representative scholars, re- search groups and cooperation status, as well as recent representative scholars and continuing representative scholars. The presented model is universal and can enhance the integration of librarians in scientific research service.