Epidemic spreading on higher-order networks

IF 23.9 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY
Wei Wang , Yanyi Nie , Wenyao Li , Tao Lin , Ming-Sheng Shang , Song Su , Yong Tang , Yi-Cheng Zhang , Gui-Quan Sun
{"title":"Epidemic spreading on higher-order networks","authors":"Wei Wang ,&nbsp;Yanyi Nie ,&nbsp;Wenyao Li ,&nbsp;Tao Lin ,&nbsp;Ming-Sheng Shang ,&nbsp;Song Su ,&nbsp;Yong Tang ,&nbsp;Yi-Cheng Zhang ,&nbsp;Gui-Quan Sun","doi":"10.1016/j.physrep.2024.01.003","DOIUrl":null,"url":null,"abstract":"<div><p><span>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 </span>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.</p></div>","PeriodicalId":404,"journal":{"name":"Physics Reports","volume":"1056 ","pages":"Pages 1-70"},"PeriodicalIF":23.9000,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physics Reports","FirstCategoryId":"4","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0370157324000176","RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

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.

高阶网络上的流行病传播
聚集事件,如去健身房和开会,在传播现象中无处不在且至关重要,它们会引起高阶交互,因此可以被描述为高阶网络。近来,揭示和理解高阶网络流行病传播的相互作用机制、时空演化模式、临界现象和相变是网络科学中一个非常热门的挑战。本综述介绍了研究高阶网络流行病传播动力学的最新进展,强调了统计力学和网络科学视角的贡献。详细介绍了单个和相互作用流行病传播动力学的理论方法、临界现象、相变、传播机制以及高阶网络拓扑的影响,并讨论了该领域的挑战和未来研究的开放性问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Physics Reports
Physics Reports 物理-物理:综合
CiteScore
56.10
自引率
0.70%
发文量
102
审稿时长
9.1 weeks
期刊介绍: Physics Reports keeps the active physicist up-to-date on developments in a wide range of topics by publishing timely reviews which are more extensive than just literature surveys but normally less than a full monograph. Each report deals with one specific subject and is generally published in a separate volume. These reviews are specialist in nature but contain enough introductory material to make the main points intelligible to a non-specialist. The reader will not only be able to distinguish important developments and trends in physics but will also find a sufficient number of references to the original literature.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信