摘要
通过社会网络分析方法对全球贸易关系进行了解析。以"经济贸易论坛"获取的76个国家之间贸易数据作为分析样本,运用社会网络分析软件ucinet,从规模、密度、小世界性、中心性等方面分析了全球贸易关系的社会网络结构,并深入到重叠和非重叠两个层面对样本进行了聚类性分析,根据聚类结果对全球网易关系做出了评价。
The global trade relationship is analyzed by using social network analyzing method. With the trade data among 76 countries obtained from economic and trade BBS as samples, the social network structure of global trade relationship is analyzed from the aspects of scale, density, small-world property, centrality and so on by using the social network analyzing software of ucinet. The samples are clustered in two ways：overlapping and non-overlapping. In the end, a reasonable evaluation is made according to the clustering result.
出处
《天津职业技术师范大学学报》
2011年第2期49-52,共4页
Journal of Tianjin University of Technology and Education
基金
天津市应用基础及前沿技术研究计划(10JCYBJC07500)
