Abstract: A multi-scale aggregation pattern analysis method for a complex traffic network is provided, which belongs to the field of the highway traffic network. Firstly, an adjacency matrix, a position attribute matrix, a distance weight matrix, a road grade matrix, and a time-phased traffic congestion degree matrix of a highway traffic network are calculated; secondly, a weight influence factor of the road network is incorporated based on a PageRank algorithm to determine order of critical nodes; finally, a two-dimensional decision diagram is drawn by two indicators: order of critical nodes and a shortest path distance. A new weighting matrix which accords with the actual situation of the road network is obtained by incorporating a position weight matrix, a distance weight matrix, a road grade weight matrix and a dynamic traffic congestion degree weight matrix based on a similarity matrix of the spectral clustering.