Abstract
In order to study the spatial structure characteristics and optimal layout of regional air logistics networks, a quantitative analysis system for the spatial structure of directed multivalued networks is constructed based on relational data using the social network analysis (SNA) method. Core-edge structure, cohesive subgroups, Burt’s structure hole, and topological analysis models were used. Characteristics of logistics spatial linkages of cities in the Yangtze River Economic Zone, the identification of logistics centre cities, and the construction of hub-and-spoke networks are explored, and the driving forces for the formation of logistics spatial linkage patterns are analysed using the Durbin model. The complexity of the designed model algorithm is investigated, and it is found that the comprehensive logistics capacity of the Yangtze River Economic Belt region is increasing year by year, and the strength of interregional linkages is also growing, showing a spatially divergent trend of “strong in the east and weak in the west”; the multicore network linkage pattern is obvious, and the structure of the spatial linkage network is gradually becoming more complex.