摘要
为提升民众接种疫苗的意愿,构建基于自我认知和他人认知为影响因素的个体接种意愿函数,运用复杂网络理论建立社交网络演化机制,研究社交网络结构和相关参数对疫苗接种意愿的影响机理,并提出相关建议,为实现社会面清零目标提供决策依据。结果表明:(1)在接种初始阶段,ER随机网络与无标度网络接种比例快速提升,而在后续接种阶段,小世界网络与规则网络的接种比例稳步提高;网络规模影响系统达到稳定状态的速度,网络规模越大,系统达到稳定状态的速度较快。(2)在社交网络中,初始接种比例、已接种群体的影响权重主要影响接种的速度;认知权重主要影响系统达到稳定状态时的接种比例,最终的接种比例与他人认知权重正相关。
In order to improve people's willingness to vaccinate,this study constructs an individual vaccination willingness function based on self-cognition and other people's cognition as influencing factors,by means of complex network theory,the social network evolution mechanism is established to analyze the influence mechanism of social network structure and related parameters on vaccination willingness.Accordingly this paper puts forward relevant research recommendations to provide decision-making basis for achieving social clearance.The results show that:(1)In the initial stage of vaccination,the vaccination ratio of ER random network and scale-free network increased rapidly,and in the subsequent vaccination phase,the vaccination ratio of small-world network and regular network increased steadily.The network scale affects the speed at which the system reaches a steady state,and the larger the network scale,the faster the system reaches a stable state.(2)In social networks,the initial vaccination ratio and the influence weight of the vaccinated group mainly affect the speed of vaccination;the cognitive weight mainly affects the vaccination ratio when the system reaches a stable state,and the final vaccination ratio is positively correlated with the cognitive weight of others.
作者
单海燕
郭青青
SHAN Hai-yan;GUO Qing-qing(School of Management Science and Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China)
出处
《系统工程》
CSSCI
CSCD
北大核心
2023年第2期15-25,共11页
Systems Engineering
基金
国家自然科学基金资助项目(72074121)
江苏高校哲学社会科学研究基金资助项目(2020SJA0187)。
