合著网络中的社会资本及其影响分析——以情报学领域为例  

Influence of the Social Capital in Co- authorship Network on Paper Output:A Case Study on Intelligence Field in China

作　　者：程莉[1] 吴广印 王鑫[1] 

机构地区：[1]中国科学技术信息研究所,北京100038 [2]北京万方软件股份有限公司,北京100038

出　　处：《情报杂志》2014年第7期86-90,49,共6页Journal of Intelligence

基　　金：国家科技支撑项目"跨媒体科技文献数字资产管理及内容复用关键技术研发与应用示范"(编号:2012BAH90F04)

摘　　要：合著作为一种广泛社会现象,有学者认识到了合著数量对论文产出的影响。基于社会资本理论的视角,在分析合著网络中社会资本的内涵、类型的基础上,从结构、关系、认知三个维度研究社会资本对论文产出行为的作用机制。并以情报学领域合著网络为例进行了实证分析,发现:结构维社会资本变量、关系维社会资本变量直接与论文产出变量相关,认知维社会资本变量通过其他两维变量间接影响论文产出行为。Co-author is a wide range of social phenomena, some researcher studied its influence on the output of papers. This paper ana-lyses meaning of the social capital in co-authorship network based on the social capital theory. We study the influence of the social capital in co-authorship network on paper output from three dimensions. They are structure, relationships and cognition. We validate this influ-ence with co-authorship network in the field of intelligence. The result shows：Social capital variables of structure and relationships dimen-sions are associated directly with the paper output variables. Social capital variables of cognitive dimension indirectly affect the paper out-put variables through other two-dimensional variables.

关 键 词：合著网络 社会资本 论文产出 社会网络分析 相关性分析 情报学 

分 类 号：G35[文化科学—情报学]