Pomm: A Public Opinion Management Model Integrating Network Game and Opinion Dynamics for Social Networks

Abstract

In the field of public opinion research, quantifying and modeling the evolution trends of public opinion and assessing the effectiveness of management strategies is a highly valuable research problem. Traditional network game models in public opinion control primarily focus on behavioral changes, while opinion dynamics models concentrate on the evolution of opinion. However, both of these approaches often overlook the interaction between behavior and opinion. To address this gap, this paper presents an innovative Public Opinion Management Model (POMM), which combines the Public Opinion Evolution Model (POEM) with tailored management strategies. The POEM integrates network game theory and opinion dynamics to capture the intricate interplay between individual psychological processes and opinion dissemination behaviors. This approach enables precise modeling of the complex relationship between behavior and opinion tendency. The management strategies proposed include information blockade, forced intervention and gradual guidance. These strategies are fully compatible with the POEM framework, providing a robust basis for evaluating the effectiveness of public opinion management efforts. Through numerical simulations and comparative experiments, we systematically analyzed the key factors influencing the evolution of public opinion, highlighting the advantages of POEM over traditional opinion dynamics models and evaluating the effectiveness of different management strategies. The results demonstrate that POMM holds significant potential for optimizing public opinion management.

Keywords: Network game theory, Opinion dynamics model, Public opinion management, Social network, Behavioral simulation