中美英被引和未被引作者科研合作社区结构特征及差异分析  

Analyzing Difference in Structure Characteristics and Research Communities between Cited and Uncited Co-authorship Networks

作　　者：胡泽文 崔静静 Hu Zewen

机构地区：[1]南京信息工程大学管理工程学院,江苏南京210044

出　　处：《情报理论与实践》2023年第2期49-62,共14页Information Studies:Theory & Application

基　　金：国家社会科学基金项目“面向海量科技文献的潜在‘精品’识别方法与应用研究”的成果之一,项目编号:20CTQ031。

摘　　要：[目的/意义]测度与揭示不同国家被引和未被引作者科研合作社区结构和规模特征演化,为作者选择科研社区与合作伙伴、挖掘合作关系、增强合作交流和探测合作社区主题提供一定的借鉴意义。[方法/过程]文章基于中美英管理学领域2000—2014年的论文数据,全面计量分析了中美英被引和未被引作者合著网络的结构特征、科研社区规模与数量随作者数量阈值增加的演变特征及差异。[结果/结论]①中国(港澳台地区除外)被引和未被引作者科研社区结构和规模差异极小,都形成了超级科研合作社区,而美英被引和未被引作者科研社区结构和规模差异较大,表明中国被引和未被引作者的科研合作偏好较为一致,倾向融入大规模科研社区进行科研合作。②当作者数量阈值不断增大时,中美英被引作者科研合作网络中逐渐形成数量极少但规模较大的超级科研社区,以及数量众多的小规模科研社区,分布规律呈现出典型的马太效应,并且网络结构呈现出稳定且极少的变化。[Purpose/significance]The measure and analysis of the structure and scale of research communities from cited and uncited co-authorship networks can provide significant reference for selecting research communities and co-authors,enhancing co-authorship level and probing research topics of research communities.[Method/process]This paper selected the 2000-2014 data of articles in the Management disciplines from the People’s Republic of China(PRC),the United States of American(USA)and the United Kingdom(UK),and explored the structure characteristics,scale and number of research communities in cited and uncited co-authorship networks from three chosen countries.[Result/conclusion]This study found that:①The structures and scale of the cited and uncited communities in the UK and USA were markedly different from each other.That revealed the significantly different cooperation preferences and behavior between cited and uncited authors in these two countries.Conversely,the cited and uncited PRC(Excluding Hong Kong,Macao and Taiwan regions)communities had broadly similar structures and scale that were characterized by large groups of connected authors.That revealed that the both cited and uncited authors in China have high scientific research cooperation preferences,tending to integrate into large-scale scientific research community.②The structural characteristics of the co-authorship network are influenced by the thresholds of number of authors.When the threshold increases to the larger value,the number of research communities in the PRC,UK and USA began to increase significantly and the cited co-authorship networks began to be dominated by a single,enormous community including 20%authors in networks,that show typical Matthew’s effect.When the threshold increases to much larger value than 80,there began to form the super enormous community covering 200 authors.And the structure of the cited communities for three countries begin to converge a stable situation,and the number and scale of communities show an extremely

关 键 词：科研合作 合著网络 合作偏好 未被引 社会网络 科研社区 

分 类 号：G353.1[文化科学—情报学] G311