With social network analysis and ArcGIS spatial analysis methods,the hierarchical structure,connection pattern and subgroup characteristics of urban agglomeration networks in Northwest China were explored from the perspective of multiple factor flows such as transportation,economy and popula-tion,and the driving mechanism of multi-network structure dug into with the quadratic assignment proce-dure regression analysis method.The results showed that regional differences in network centrality were significant,and the center of gravity was located in the east.The differences in traffic network were relatively small,showing a single center structure;the economic network had the most concentrated size distribution,showing a two-center structure;the population network had the most decentralized size distribution,showing a multi-center structure.Urban connection showed a spatial network pattern of being"dense in the East and sparse in the West",with a significant hierarchy.The traffic network presented a ribbon group structure,the economic network a center radiating-shaped structure and the population network a honeycomb multi-center structure with the provincial capital as the main,and there were small groups within the network.The composition and connection of traffic network subgroups were greatly affected by the traffic arteries;the preferential attachment effect was obvious in the economic network,and the population network were constrained by administrative divisions.Geographical proximity,transportation accessibility and economic development were the main factors generating network com-monality,and enterprise growth,industrial structure and social services were the main contributors to network differences.
multi-dimensional element flowsocial network analysisspatial structuredriving mecha-nismcity groups in Northwest China
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