Study on the Spatial and Temporal Characteristics of Weibo Users’ Online Shopping Festival Concerns: A Case Study of “Double 11 Shopping Carnival”

Online shopping festivals have become powerful ways for major e-commerce platforms to conduct promotions. To explore the rule and hidden information of change users’ attention online festivals, it can provide scientific effective marketing reference, promote sustainable development festivals. This paper takes “Double 11” festival as research object. Based on LDA+LSA+NMF integrated theme extraction model, kernel density analysis, grouping analysis cluster outlier in ArcGIS technology are adopted. We evolution pattern microblog spatial temporal dimensions. In dimension, number releases showed a stepwise increase, concerns annual topic daily three-stage differential evolution. release volume gradient decreasing trend from coastal inland east west, certain regional differences. The main contribution this is propose funnel model with multi-model integration, new perspective based technology.