Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Дек. 28, 2024

In the context of social networks becoming primary platforms for information dissemination and public discourse, understanding how opinions compete reach consensus has become increasingly vital. This paper introduces a novel distributed competition model designed to elucidate dynamics opinion competitive behavior in networks. The proposed captures development mechanism various opinions, their appeal individuals, impact environment on evolution. reveals that subset ultimately prevails is adopted. Key elements are quantified as parameters, with parameter variations representing opinions. Furthermore, modified gradient-based neural network evolutional law opinion, whose stability convergence confirmed by theoretical analysis. Additionally, experiments simulate real-world scenarios, demonstrating practical applications model. can be widely applied filed networks, offering new perspective predicting phenomenon complex systems. Overall, this work provides structured systematic approach dynamics, which greatly enhances our ability analyze behaviors anticipate outcomes diverse viewpoints

Язык: Английский