Citation content/context data as a source for research cooperation analysis

S. Parinov, V. Antonova
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引用次数: 1

Abstract

Using citation relationships, one can build three groups of papers: (1) the papers of a selected author; (2) those papers cited by the author; (3) papers citing the author. Authors of papers from these three groups can be presented as a fragment of a research cooperation network, because they use/cite research outputs of each other. Their papers' full texts and especially the contexts of their in-text citations contain some information about the character of this research cooperation. We present a concept of research cooperation, based on publications and the current results of the Cirtec project for building the research cooperation characteristics. This work is based on the processing of citation content/context data. The results include an on-line service for authors to monitor the citation content data extractions and three types of built indicators/parameters: co-citation statistics, spatial distribution of citations over papers' body and topic models for citation contexts.
引文内容/上下文数据作为研究合作分析的来源
利用引文关系,可以建立三组论文:(1)选定作者的论文;(二)作者引用的论文;(三)引用作者的论文。这三个小组的论文作者可以作为研究合作网络的一个片段出现,因为他们使用/引用了彼此的研究成果。他们论文的全文,特别是他们在文中引用的上下文包含了一些关于这次研究合作的特征的信息。我们提出了一个研究合作的概念,基于出版物和Cirtec项目的当前成果,以建立研究合作的特征。这项工作是基于对引文内容/上下文数据的处理。结果包括为作者监测引文内容数据提取的在线服务和构建的三种指标/参数:共被引统计、论文主体被引的空间分布和引文上下文的主题模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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