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网络引文中的科学结构图景管窥

     

摘要

This paper explores the characteristics of maps of science generated from a relatively new type of citation: web citation. The web citation data were extracted from the Chinese Science Citation Database, then were used to analyze the structure of science by applying co-classification analysis, factor analysis and visualization. The result of factor analysis is different from other studies in which the main disciplines are extracted by factor analysis. The result of factor analysis in this research shows that science research in China is application-oriented and coincides with the current national conditions. The form of map of science generated from web citation data is centric. There are four obvious characteristics in maps based on web citation data compared with maps based on other types of data:computer science is the largest node in the network of web citation;computer science is also the central node;the relationship among disciplines is more direct and the interdisciplinarity is stronger in the network of web citation;the order of main disciplines in map of science based on web citation is in accord with other maps of science, and it shows that the hardness of science has negative relation with the number of web citation.%基于一类相对较新的引文形式---网络引文绘制科学知识图谱,探讨网络引文中科学结构的特点。网络引文数据来源于中国科学引文数据库。主要采用因子分析和共类分析方法。与其他研究中因子分析能够得出主干学科领域有所不同,基于网络引文数据所得的因子分析结果体现出学科间的相互关系与当前国情的契合性,以及国内科学研究的应用性特征。网络引文中的科学结构地图属于中心型科学知识图谱,它在四个方面与其他研究中的科学结构地图存在异同:计算机科学是网络引文网络中最大的节点,同时也是中心节点;网络引文网络中学科间的关联更直接,跨学科性更强;基于网络引文的科学地图中主干学科的排序与其他研究中主干学科的排序一致,同时也体现出学科硬度与网络引文多少的负相关性。

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