The Digital Transformation Path of Cross-Border E-Commerce cross-Cultural Communication on the “Digital Silk Road” under the Perspective of Enterprise Operation Synergy

Abstract

This paper first introduces the basic characteristics of networks and the evolutionary process of complex network models. Building upon complex social networks and traditional SIR models, it introduces two key factors—content homogeneity and dynamic change rates—to propose a dynamic information propagation model with a content homogeneity mechanism, analyzing approaches to addressing information content homogeneity. Through comparative experiments between scale-free networks and small-world networks, it explores the propagation mechanisms of homogeneous information in cross-border cultural networks. The results indicate that the number of edges, average path length, and clustering coefficient in cross-border cultural transmission networks decrease as the threshold increases. Through experiments, the threshold, average path length, and clustering coefficient of cross-border cultural transmission e-commerce networks were ultimately determined to be 0.5, 2.59039, and 0.42242, respectively. The effectiveness of cross-border cultural transmission marketing is enhanced by increases in market size, infection rate, and information survival time, while recovery rate and the number of competitors significantly weaken the effectiveness of cross-border cultural communication marketing.