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.

Abstract: A supported three-center catalyst, a preparation method and the use are provided. The catalyst comprises a porous inorganic carrier, an organic chromium active component, an inorganic chromium active component and an inorganic vanadium active component, and may further comprise a catalyst modifying component. A method involves, by means of one or more steps of dipping and drying or dipping, drying and high-temperature roasting procedures, respectively converting an organic chromium source, a chromium source, a vanadium source and a Q component into an organic chromium active component precursor, an inorganic chromium active component precursor, an inorganic vanadium active component precursor and a catalyst modifying component that are supported on the surface of the porous inorganic carrier, and then activating same with an organometallic cocatalyst or a polymerization monomer, so as to obtain the supported three-center catalyst.