Smoking behavior and awareness co-spread through social interactions, giving rise to coupled contagion processes on social contact networks. In addition to initiation and cessation, awareness of the harmful effects of smoking plays an important role in shaping individual behavior and population-level outcomes. In this work, we develop a mathematical model to study the coupled dynamics of smoking behavior, quitting, and awareness in a population. A deterministic framework based on ordinary differential equations is first formulated to capture the interplay between social influence and awareness-driven behavioral change. Analysis of the model reveals the existence of smoking-free and smoking-endemic steady states, and identifies conditions under which awareness can reduce or suppress the persistence of smoking. Since social interactions are often localized rather than well mixed, the mean-field description is then extended to a network-based model that incorporates structured contact patterns. Numerical simulations performed on empirical social networks indicate that contact heterogeneity and localized awareness spreading can influence the effectiveness of interventions. Our findings underscore the importance of population structure when devising awareness-based intervention strategies for smoking cessation.
Fractional-order SIS-UAU subdiffusion model for rumor propagation
Business College, Southwest University（西南大学商学院）；School of Journalism and Communication, Beijing Normal University（北京师范大学新闻传播学院）；Potsdam Institute for Climate Impact Research（波茨坦气候影响研究所）；Department of Physics, Humboldt University of Berlin（柏林洪堡大学物理系）；Faculty of Natural Sciences and Mathematics, University of Maribor（马里博尔大学自然科学与数学学院）；Community Healthcare Center Dr. Adolf Drolc Maribor（马里博尔阿道夫·德罗尔克博士社区医疗中心）；Department of Physics, Kyung Hee University（庆熙大学物理系）；University College, Korea University（韩国大学大学院）；College of Artificial Intelligence, Southwest University（西南大学人工智能学院）
Higher-order adaptive behaviors outperform pairwise strategies in mitigating contagion dynamics
Aix Marseille Univ, Université de Toulon, CNRS, CPT, Turing Center for Living Systems（艾克斯-马赛大学，土伦大学，法国国家科学研究中心，复杂物理中心，图灵生命系统中心）；Department of Network and Data Science, Central European University（中欧大学网络与数据科学系）；National Laboratory for Health Security, HUN-REN Rényi Institute of Mathematics（国家安全健康实验室，匈牙利研究网络雷尼数学研究所）
