Evaluation of Word-of-Mouth Influence of Cross-Border E-commerce Products Based on Social Network Data Analysis

To improve the performance of word-of-mouth impact assessment for cross-border e-commerce products, a method based on social network data analysis is proposed for evaluating the word-of-mouth impact of cross-border e-commerce products. Eliminate abnormal users on social networks and establish an evaluation index system for the reputation and influence of cross-border e-commerce products. Based on this system, the basic indicators for evaluating the word-of-mouth impact of cross-border e-commerce products are determined, and an indicator weight judgment matrix is constructed using Analytic Hierarchy Process to calculate the weight of the word-of-mouth impact evaluation indicators for cross-border e-commerce products. Based on the weight calculation results, a word-of-mouth impact evaluation algorithm for cross-border e-commerce products was designed to achieve the evaluation of word-of-mouth impact of cross-border e-commerce products. Case analysis demonstrates that this approach effectively evaluates the impact of word-of-mouth for cross-border e-commerce products with a 95% improvement in evaluation efficiency and reliability, boosting overall performance.