Presentation Information
[SS26-01]Opinion Dynamics and Vaccination Game in Social Networks: Game theory and Network science to study epidemic behaviour
*Samit Bhattacharyya1 (1. Shiv Nadar Institution of Eminence (India))
Keywords:
Opinion sharing,Social contacts,Vaccination game,Complex network
Opinion sharing in social networks plays a crucial role in individual decision-making, particularly during pandemics, making it a key aspect of socio-epidemiological studies. The global COVID-19 pandemic has highlighted the significant influence of public opinion on vaccination uptake and social distancing behaviours. Analyzing these multi-scale, nonlinear, and complex social systems requires in-depth research in applied mathematics.
In this talk, I will discuss mathematical and computational models that utilize multiplex networks, microscopic Markov chain theory, and evolutionary game theory. These frameworks provide valuable qualitative and quantitative insights into opinion dynamics and decision-making, which influence disease spread within communities. My talk will highlight that incorporating social media interactions, vaccine efficacy, and information quality can synergistically enhance vaccination uptake through feedback mechanisms. Additionally, I will explore the epidemic threshold of the infected population and present actionable strategies to curb disease transmission. This study integrates mathematical rigour with public health priorities, offering a pathway to address the interconnected challenges of misinformation and vaccine hesitancy.
In this talk, I will discuss mathematical and computational models that utilize multiplex networks, microscopic Markov chain theory, and evolutionary game theory. These frameworks provide valuable qualitative and quantitative insights into opinion dynamics and decision-making, which influence disease spread within communities. My talk will highlight that incorporating social media interactions, vaccine efficacy, and information quality can synergistically enhance vaccination uptake through feedback mechanisms. Additionally, I will explore the epidemic threshold of the infected population and present actionable strategies to curb disease transmission. This study integrates mathematical rigour with public health priorities, offering a pathway to address the interconnected challenges of misinformation and vaccine hesitancy.