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Dynamic Analysis and Optimal Control of ISCR Rumor Propagation Model with Nonlinear Incidence and Time Delay on Complex Networks
Author(s) -
Zhongxue Chang,
Haijun Jiang,
Shuzhen Yu,
Shanshan Chen
Publication year - 2021
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2021/3935750
Subject(s) - rumor , stability (learning theory) , nonlinear system , mathematics , epidemic model , pontryagin's minimum principle , control theory (sociology) , invariance principle , maximum principle , diffusion , computer science , optimal control , mathematical optimization , control (management) , physics , artificial intelligence , law , population , linguistics , philosophy , demography , quantum mechanics , machine learning , sociology , political science , thermodynamics
An Innocents-Spreaders-Calmness-Removes (ISCR) rumor propagation model is established with nonlinear incidence and time delay on complex networks in this paper. Based on the mean-field theory, the spreading dynamics of the ISCR model are discussed in detail. Firstly, the basic reproduction number R 0 is obtained by the next generation matrix method to ensure the existence of rumor-prevailing equilibrium. Secondly, by utilizing the Routh–Hurwitz criterion and LaSalle’s invariance principle, the local stability and global stability of rumor equilibria are proved. Moreover, the optimal control is presented via Pontryagin’s minimum principle, which is to effectively restrain rumor diffusion. Finally, the theoretical results are verified by numerical simulations.

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