Micro-blog public sentiment propagation model based on complex network theory

Micro-blog refers to a social network based on the relationship of information access, sharing and dissemination. In this paper, we demonstrate on the phenomenon of the micro-blog public sentiment propagation, and aim to explore the propagation rule of micro-blog public sentiment and related influencing factors. We introduce the complex network to describe the structure of micro-blog and relationships between various users. We divide each micro-blog to a set of keywords, and then determine the sentiment of a micro-blog by integrating sentiments of all its keywords. Afterwards, we propose a micro-blog public sentiment propagation prediction algorithm by estimating user importance and path importance. Finally, we crawl the micro-blogs from Sina Weibo to construct the experimental dataset. Experimental results demonstrate that the proposed method find some important micro-blog public sentiment propagation laws, and also can predict the micro-blog propagation process with high accuracy.