Epidemic spreading on higher-order networks

被引:25
|
作者
Wang, Wei [1 ]
Nie, Yanyi [1 ,2 ]
Li, Wenyao [1 ,2 ]
Lin, Tao [2 ]
Shang, Ming-Sheng [3 ,4 ]
Su, Song [5 ,6 ,7 ]
Tang, Yong [5 ,8 ]
Zhang, Yi-Cheng [4 ]
Sun, Gui-Quan [9 ,10 ]
机构
[1] Chongqing Med Univ, Sch Publ Hlth, Chongqing 400016, Peoples R China
[2] Sichuan Univ, Coll Comp Sci, Chengdu 610065, Peoples R China
[3] Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing Key Lab Big Data & Intelligent Comp, Chongqing 400714, Peoples R China
[4] Univ Fribourg, Phys Dept, Chemin Musee 3, CH-1700 Fribourg, Switzerland
[5] Southwest Med Univ, Inst Intelligent Med, Luzhou 646000, Peoples R China
[6] Southwest Med Univ, Dept Gen Surg Hepatopancreatobiliary Surg, Affiliated Hosp, Luzhou 646000, Peoples R China
[7] Southwest Med Univ, Metab Hepatobiliary & Pancreat Dis Key Lab Luzhou, Affiliated Hosp, Workstat Sichuan Prov, Luzhou 646000, Peoples R China
[8] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 610054, Peoples R China
[9] North Univ China, Sino Europe Complex Sci Ctr, Sch Math, Taiyuan 030051, Shanxi, Peoples R China
[10] Shanxi Univ, Complex Syst Res Ctr, Taiyuan 030006, Shanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Higher-order networks; Epidemic spreading; Phase transition; COMPLEX NETWORKS; INFLUENCE MAXIMIZATION; COMMUNITY STRUCTURE; SOCIAL NETWORKS; MODELS; MULTILAYER; CASCADES; DYNAMICS; MOTIFS; SYNCHRONIZATION;
D O I
10.1016/j.physrep.2024.01.003
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Gathering events, e.g., going to gyms and meetings, are ubiquitous and crucial in the spreading phenomena, which induce higher-order interactions, and thus can be described as higher-order networks. Recently, uncovering and understanding the interacting mechanisms, spatiotemporal evolving patterns, critical phenomena and phase transitions of higher-order networked epidemic spreading is a very hot challenge in network science. This review introduces recent progress in studying epidemic-spreading dynamics on higher-order networks, emphasizing the contributions from statistical mechanics and network science perspectives. The theoretical methods, critical phenomena, phase transitions, spreading mechanisms, and effects of higher-order network topology for single and interacting epidemic spreading dynamics are presented in detail, and the challenges in this field and open issues for future studies are also discussed. (c) 2024 Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 70
页数:70
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