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[目的 /意义]确定基于引用关系提取关键文献时各种方法的优缺点、适用场合,从而使用户快速捕捉领域重要文献,掌握领域概貌。[方法 /过程]基于文献引用关系,从文献被引频次、文献引用网络、文献共被引网络3个角度,结合Hist Cite、Cite Space等软件探讨领域关键文献的识别方法,通过同源数据的实际验证,对不同方法进行判别比较。[结果 /结论]基于被引频次的方法更适合选择特定领域中哪些文献对总体文献的科学进步产生重大影响角度提取关键文献,对应的关键文献集合呈现非常分散的特性;基于引用网络的方法更适合从特定领域研究动态提取发展过程中的关键文献,对应的关键文献集合呈现非常明显的集中特性;基于共被引网络的方法更适合从特定领域研究基础角度提取关键文献,对应的关键文献集合呈现较强的集中性,且能发现原始采集中未发现的大量关键文献。
[Purpose / Significance] Identify the advantages and disadvantages of each method when extracting key documents based on the reference relationship, and apply the application so that the user can rapidly capture important literature in the field and master the field overview. [Methods / Processes] Based on the literature citation relationships, this paper explores the identification methods of key documents in the field based on the citing times of the documents, the literature reference network and the literature citation networks. By means of software such as Hist Cite and Cite Space, The actual verification, to distinguish between different methods. [Results / Conclusions] Based on the citation frequency method, it is more suitable to select which documents in a particular field have a significant impact on the scientific progress of the overall literature. Key documents are extracted from the perspective of the scientific literature, and the corresponding key documents collection presents very scattered characteristics. It is suitable for dynamically extracting the key documents from the research of specific fields and the corresponding key documents have a very obvious concentration characteristic. Based on the co-citation network method, it is more suitable to extract the key documents, the corresponding key documents Showing a strong concentration, and can discover a large number of key documents not found in the original acquisition.