中国知网文献共被引方法及实证研究 ——以“智慧医疗”为例

Co-citation Methodology and Empirical Study of Literature on CNKI——A Case of Wise Information Technology of Med

[目的/意义]CiteSpace是一款基于可视化的分析工具,用于在科学文献中识别并显示科学发展新趋势和新动态。运用CiteSpace对CSSCI与WOS数据库文献进行共被引分析一直以来都是学界热门的研究方法,以往研究表明,使用CiteSpace分析CNKI数据库文献时,只能进行常规分析,无法像WOS数据库与CSSCI数据库那样进行共被引分析。为了解决这个限制,本研究提出了一种通过填充参考文献数据的方法实现了基于CNKI数据库的文献共被引分析。[方法/过程]该方法使用自编爬虫程序爬取了CNKI数据库中“智慧医疗”领域文献的参考文献,并通过自编Python程序将爬取的参考文献写入CiteSpace转换后的CNKI文献当中,从而实现了对CNKI数据库文献的共被引分析、作者共被引分析与期刊共被引分析。[结果/结论]通过实证分析可知,本文提出的中国知网文献共被引方法实证效果较好,可以为相关研究者提供新的共被引分析思路,具有一定现实意义。

[Purpose/Significance]CiteSpace is a visualization-based analysis tool for identifying and displaying new trends and developments in science in the scientific literature.Co-citation analysis of CSSCI and WOS database literature using CiteSpace has been a popular research method in the academic community.Previous studies have shown that when using CiteSpace to analyze CNKI database literature,only very basic analysis can be performed,and co-citation analysis cannot be performed as in the case of WOS database and CSSCI database.To address this limitation,this study proposes a method to achieve co-citation analysis of literature based on CNKI databases by populating reference data.[Method/Process]The method crawled the references of“Wise Information Technology of med”literature in CNKI database through a self-coded crawler program,and wrote the crawled references into the converted CNKI literature through a self-coded python program,thus realizing the co-citation analysis,author co-citation analysis and journal co-citation analysis of CNKI database literature.[Result/Conclusion]Through the empirical analysis,it is clear that the co-citation method proposed in this paper is effective and can provide a new idea of co-citation analysis for the researchers,which has some practical significance.