The application discloses a method for identifying regional market structure by fusing feature price model and
complex network, comprising the following steps: collecting house price data of cities in counties nationwide; combining feature price model and
complex network to establish a city regional
connection model; reconstructing the network based on prefecture-level city scale statistical convergence index; and calculating the network by adopting louvain
algorithm to obtain the regional structure of prefecture-level cities nationwide. The application proposes a method for measuring the market convergence connection degree between cities by fitting goodness based on feature price model and
complex network, and further digs out the regional structure; takes the connection network between real estate markets in counties and cities as the basis, and further reconstructs the network at the prefecture-level city scale, so as to balance the analysis accuracy and
operability, capture the market similarity from micro to
macro, and realize the comprehensive identification of the regional structure of the real estate market nationwide.