Economic Data Mining Research based on Complex Networks and factor analysis

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.