Keywords: Social media, big data, sentiment analysis, and emerging technologies

In this paper, 486 Weibo hot events of 2016 participation are associated with 325 opinion leaders to build an opinion leaders’event coupling matrix. By use of coupling analysis, index analysis and social network analysis, the study analyzes the coupling relationship and visually reveals the activity of opinion leaders, the relationship between them and their subject participation tendency. Research findings suggest that the Weibo ecosystem has an obvious preference for pan-entertainment and livelihood. Currently, four types of opinion leaders are active in the Weibo ecosystem: 1) opinion leaders in recreation & entertainment; 2) opinion leaders in society & livelihood; 3) opinion leaders in competitive sports; and 4) opinion leaders in finance & politics. Through comparing these opinion leaders as well as relationships between them and different subjects, it was found that a lot of overlaps between opinion leaders in recreation & entertainment and opinion leaders in society & livelihood exist; the degree of correlation between these two subjects is relatively high; and in terms of opinion leaders in finance & politics and opinion leaders in competitive sports, although their subjects may involve other subjects, the degree of correlation between their subjects and other subjects is relatively low, implying that they only focus on events in their own subject in most cases.This study uses coupling to realize the connection between the text and the user and explore the hidden relationship between the users. Its results may be used for collective behavior identification of marketing accounts, label dynamic division of opinion leaders and grading detection of subjects.