基于加权网络模型的国际科学合作研究  

Research on International Scientific Collaboration Based on Weighted Network Model

作　　者：孙海生[1] 

机构地区：[1]聊城大学图书馆,聊城252059

出　　处：《情报杂志》2014年第7期91-96,109,共7页Journal of Intelligence

摘　　要：以Web of science数据库为数据源,采用加权网络分析方法,构建了国际科学合作网络。从网络分析的角度,研究各国在合作网络中的重要性,揭示了合作网络中的社团结构。研究结果表明:合作网络的密度在逐年增加,各国的合作范围、合作强度逐年增强,跨国合作呈现多极化发展的趋势,但整体格局未发生根本性变化;社团结构的形成受地域、文化、语言等因素的影响,表现出和经济区域化的相似性。Taking Web of Science as the data source, weighted network analysis was used as the methodology to construct an international scientific collaboration network. The centrality of nodes, namely countries, and the community structure in the network were analyzed. The results showed that the density of the network increased year by year, so did the scope of collaboration and the collaboration strength. There was a multi-polarization trend for the international scientific collaboration development, but the overall pattern failed to change fun-damentally. The community structure was influenced by factors such as geography, culture, language, etc. , and showed similarities with economic regionalization.

关 键 词：科学合作 加权网络 H度 核度 核密度估计 社团结构 

分 类 号：G350[文化科学—情报学]