Taming obstinate spreaders: the dynamics of a rumor spreading model incorporating inhibiting mechanisms and attitude adjustment

被引:6
作者
Wenkai, Chen [1 ]
Zhang, Hong [1 ]
Georgescu, Paul [2 ]
Li, Tan [3 ]
Zhang, Bing [4 ]
机构
[1] Changzhou Inst Technol, Sch Econ & Management, Changzhou 213032, Jiangsu, Peoples R China
[2] Tech Univ Iasi, Dept Math, Bd Copou 11A, Iasi 700506, Romania
[3] Changzhou Inst Technol, Sch Innovat & Entrepreneurship, Changzhou 213032, Jiangsu, Peoples R China
[4] Changzhou Inst Technol, Sch Elect & Informat Engn, Changzhou 213032, Jiangsu, Peoples R China
关键词
Rumor spreading; Stability of equilibria; Conformable spreaders; Obstinate spreaders; Influence numbers; Nonstandard finite difference (NFSD) scheme; Backward bifurcation; Fixed horizon optimal control regime;
D O I
10.1007/s40314-021-01492-9
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper proposes and investigates a model for rumor spreading and control which accounts for different attitudes and for a distinct type of variable, related to the strength and effectiveness of rumor inhibiting mechanisms. The control mechanisms essentially amount to budgeting and to adjusting the attitude of spreaders. The existence and stability of the trivial (rumor-free) equilibrium and of the semi-trivial equilibrium are characterized in terms of two threshold parameters which quantify the influence of both categories of spreaders. The existence of a positive (rumor-prevailing) equilibrium is also established, its stability being discussed with the help of a bifurcation theorem. A nonstandard finite difference (NSFD) scheme is devised to construct approximate solutions while preserving their positivity, necessary conditions for the existence of the optimal discrete rumor spreading controls being then established.
引用
收藏
页数:22
相关论文
共 34 条
[1]  
Al-Tuwairqi S, 2015, Open Access Libr J, V2, P1
[2]   Contributions to the mathematics of the nonstandard finite difference method and applications [J].
Anguelov, R ;
Lubuma, JMS .
NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS, 2001, 17 (05) :518-543
[3]   Nonstandard finite difference method by nonlocal approximation [J].
Anguelov, R ;
Lubuma, JMS .
MATHEMATICS AND COMPUTERS IN SIMULATION, 2003, 61 (3-6) :465-475
[4]   A NOVEL MODEL FOR RUMOR SPREADING ON SOCIAL NETWORKS WITH CONSIDERING THE INFLUENCE OF DISSENTING OPINIONS [J].
Bodaghi, Amirhosein ;
Goliaei, Sama .
ADVANCES IN COMPLEX SYSTEMS, 2018, 21 (6-7)
[5]   Dynamical models of tuberculosis and their applications [J].
Castillo-Chavez, C ;
Song, BJ .
MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2004, 1 (02) :361-404
[6]   ILSCR rumor spreading model to discuss the control of rumor spreading in emergency [J].
Chen, Guanghua .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 522 :88-97
[7]   Rumor spreading model considering rumor credibility, correlation and crowd classification based on personality [J].
Chen, Xuelong ;
Wang, Nan .
SCIENTIFIC REPORTS, 2020, 10 (01)
[8]  
Daley D., 1965, IMA J. Appl. Math., V1, P42, DOI [10.1093/imamat/1.1.42, DOI 10.1093/IMAMAT/1.1.42]
[9]   EPIDEMICS + RUMOURS [J].
DALEY, DJ ;
KENDALL, DG .
NATURE, 1964, 204 (496) :1118-&
[10]   Universal behavior in a generalized model of contagion [J].
Dodds, PS ;
Watts, DJ .
PHYSICAL REVIEW LETTERS, 2004, 92 (21) :218701-1