Economic Data Mining Research based on Complex Networks and factor analysis

被引：0
|
作者：
Li Yajie [1 ]
Huang Tao [1 ]
Ma Liwen [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Sch Sci, Dept Math, Beijing 100876, Peoples R China
来源：
PROCEEDINGS OF THE 2016 2ND WORKSHOP ON ADVANCED RESEARCH AND TECHNOLOGY IN INDUSTRY APPLICATIONS | 2016年 / 81卷
关键词：
Complex Network; Economic Development Level; Factor Analysis;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Economical data mining is practical and meaningful. Economic development levels of different regions in China are varied. We use complex network analyzing method to make network graphs and did nodal analysis and community structure detection of these regions to indicate the difference of the economic development levels of each province in China. At the same time, we did the modeling analysis of the development levels of China's provinces by multivariate statistics factor analyzing. We made the comprehensive score model and did the evaluation of the provincial economic development level. The result shows that there are regional differences between provinces in China and the regions with similar economic development levels are closely connected or related to each other.
引用
收藏
页码：1694 / 1700
页数：7
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