Research on the Analyzation of User-Side Resources Decision-Making Model Based on Social Network Theory

This paper proposes the research on the analyzation of user-side resources decision-making model based on social network theory, which aims to address the interaction and dissemination of information between different user-side resources under the perspective of social network. Firstly, an individual state classification method of user-side resources based on SEIR theory is proposed, which divides user-side resources into four states: susceptible, exposed, infected, and removed. Then, a user-side resource individual behavior modeling method is established, focusing on utility in short time scale and reputation in long time scale, the user behavior strategy updating method and social relationship updating method are proposed on the basis. Finally, the case study part carries out for a small-world complex network containing 4000 user-side resources, and the results show that the proposed method is able to realize the behavioral decision of user-side resources.