Clustering analysis of regional economy relationship based on the population flow social network

The economic development of a region is closely related with its population flow from/to other regions. And the regions, which have close relationship of the population flow, usually have a high economic relationship. Therefore, the analysis of the regional population flow can find the potential economic circles. Different from previous methods which are only rely on the analysis of experts to find economic circles, the paper proposes a method based on the weighted complex network clustering algorithm. The method analyzes the economic relationship based on the data of regional population flow. First, we construct the population flow social network according to the 1% national population sample survey in 2005; Second, we analyze the population flow social network using three clustering algorithms that are designed to analyze the weighted complex network; Third, we detect the regional economic circle and compare the result with prior knowledge.