摘要
本文按照社会网络关系的研究方法,根据合著强度、作者贡献度和合著影响力等加权要素分别构建了3种合著网络关系计算模型,并通过实证研究对比分析3种模型对应的合著关系网络的网络图形、中心性、凝聚子群、核心—边缘结构等内容,研究探讨合著强度、作者贡献度和合著影响力等加权要素对合著关系网络的作用和影响。结果表明,不同加权要素的选择对点度中心性和核心—边缘结构影响明显;对网络图形的结构没有影响,对其连接的强度(连线粗细)有影响;对中间中心性、接近中心性和凝聚子群均没有影响。
The study on co-authorship network has always been an important research direction in the field of information science. Adopting the social network analysis （SNA） research methods, the authors build three computing models of co-authorship network respectively according to three weighted elements such as networking intensity, individual author＇s contribution, and co-authorship influence. They then compare and analyze the network graph, centrality analysis, subgroup analysis and core-periphery analysis through an empirical research. The study finds out that the weighted factors have an impact on the point centrality, core-periphery structure, and the connection strength of network graph, but do not affect the betweenness centrality, the closeness centrality, the cohesive subgroups, or the structure of network graph.
作者
任妮
周建农
Ren Ni Zhou Jiannong(Jiangsu Academy of Agricultural Sciences, Center of Information Service Jiangsu Province Academy of Agricultural Sciences)
出处
《图书馆杂志》
CSSCI
北大核心
2017年第4期71-79,115,共10页
Library Journal
关键词
合著关系网络
加权要素
社会网络分析
科研团队
Co-authorship network, Weighted factors, Social network analysis, Scientific research team
