Interprovincial Trade Evolutionary Relationships from a Complex Network Perspective

Abstract

In this paper, the GDP and geographic distance data of each province for four years in 2007, 2012, 2017 and 2022 are collected, and under the premise that there is no specific interprovincial trade value, the gravitational model is used to estimate the interprovincial trade flow data under different years, and the fully connected network is plotted by using it as the weight and each province as the node, and then the node strength of the four networks using the method of complex network analysis, the weighted close centrality, and weight entropy of the three major indexes are calculated separately to analyze their similarities and differences, and the spectral clustering algorithm is used to show the node clustering of each network, compare their differences, and analyze from them the changes in interprovincial trade relations under the development of the times.