KMS Of Academy of mathematics and systems sciences, CAS
| Infection-Probability-Dependent Interlayer Interaction Propagation Processes in Multiplex Networks | |
| Liu, Juan1,2; Wu, Xiaoqun3,4; Lu, Jinhu5; Wei, Xiang6 | |
| 2021-02-01 | |
| Source Publication | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
 |
| ISSN | 2168-2216 |
| Volume | 51Issue:2Pages:1085-1096 |
| Abstract | Different spreading processes in multiplex networks may interact with each other and display intertwined effects. In this paper, we propose a theoretical framework called infection-probability-dependent interlayer interaction propagation processes in multiplex networks with an arbitrary number of layers, to more precisely depict the intertwined effects which bring challenges to the existing state-dependent interlayer interaction models. Specifically, the spreading rate of each node is regulated by the proposed spreading rate function (SRF) which depends on both the intrinsic dynamics in its layer and the infection probabilities of its counterparts. We propose an algorithm to obtain the spreading threshold of each layer of the proposed theoretical framework. We analyze the three-layer tuberculosis-awareness-flu model with the SRF of each node being the expectation of infection-probability-dependent spreading rate. This paper gives a thorough and detailed numerical investigation of the impact and interaction of system settings and the spreading threshold of each layer. We find that for tuberculosis spreading which is in competing relation with awareness and cooperation relation with flu, the epidemic threshold is a constant when other layers' intrinsic spreading rates are small. The cooperation layer has dramatic influence on the constant while the competing layer has no effect on it. |
| Keyword | Epidemic threshold multiplex network propagation process spreading rate function (SRF) |
| DOI | 10.1109/TSMC.2018.2884894 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Key Research and Development Program of China[2016YFB0800401] ; National Natural Science Foundation of China[61621003] ; National Natural Science Foundation of China[61532020] ; National Natural Science Foundation of China[11472290] ; National Natural Science Foundation of China[61573262] ; Local Undergraduate Colleges and Universities Joint Special Foundation of Yunnan Provincial Science and Technology Department[2017FH001062] |
| WOS Research Area | Automation & Control Systems ; Computer Science |
| WOS Subject | Automation & Control Systems ; Computer Science, Cybernetics |
| WOS ID | WOS:000608693000039 |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/58059 |
| Collection | 中国科学院数学与系统科学研究院 |
| Corresponding Author | Lu, Jinhu |
| Affiliation | 1.Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China 3.Wuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China 4.Wuhan Univ, Hubei Key Lab Computat Sci, Wuhan 430072, Peoples R China 5.Beihang Univ, Beijing Adv Innovat Ctr Big Data & Brain Comp, Sch Automat Sci & Elect Engn, State Key Lab Software Dev Environm, Beijing 100191, Peoples R China 6.Honghe Univ, Dept Engn, Mengzi 661199, Peoples R China |
| Recommended Citation GB/T 7714 | Liu, Juan,Wu, Xiaoqun,Lu, Jinhu,et al. Infection-Probability-Dependent Interlayer Interaction Propagation Processes in Multiplex Networks[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2021,51(2):1085-1096. |
| APA | Liu, Juan,Wu, Xiaoqun,Lu, Jinhu,&Wei, Xiang.(2021).Infection-Probability-Dependent Interlayer Interaction Propagation Processes in Multiplex Networks.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,51(2),1085-1096. |
| MLA | Liu, Juan,et al."Infection-Probability-Dependent Interlayer Interaction Propagation Processes in Multiplex Networks".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 51.2(2021):1085-1096. |
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