Modeling of Sports News Information Dissemination in Social Networks

Abstract

Modeling the process of information dissemination in online social networks is an important task that helps understand the information diffusion mechanism and analyze the influencing factors. However, most of the existing models focus on the diffusion process of general information, rumors or public sentiments, instead of concerning specific information such as sports news. In this paper, we analyze the diffusion characteristics of sports news in Sina-Weibo. An information dissemination model for sports news is constructed based on the SEIR epidemic model, and the node transition probabilities are set dynamically according to three information factors and user interest attenuation. The experimental results show that the proposed model accurately reflects the dissemination mechanism of sports news. Among four influencing factors, the information value and the published time obviously affect the speed and the range of the diffusion process.