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Global dynamics of the multi-lingual SIR rumor spreading model with cross-transmitted mechanism. (English) Zbl 1448.91220

Summary: The dynamical behaviors of the multi-lingual SIR rumor spreading model are investigated in this paper. In view of the actual background, we consider the rumor spreading under the multi-lingual environment, and further establish a new model with cross-transmitted mechanism. Employing the theory of infectious diseases, both the basic reproduction number and the stability of the rumor-free equilibrium are systematically discussed. In addition, the global asymptotic stability of endemic equilibrium of the proposed model is analyzed via applying Lyapunov functions and graph theories. In addition, we perform sensitivity analysis on threshold conditions to determine the relative importance of model parameters to rumor transmission. Finally, the effectiveness of theoretical results is illustrated through the numerical examples.

MSC:

91D30 Social networks; opinion dynamics
34D05 Asymptotic properties of solutions to ordinary differential equations
34D23 Global stability of solutions to ordinary differential equations
34C60 Qualitative investigation and simulation of ordinary differential equation models
Full Text: DOI

References:

[1] Hayakawa, H., Sociology of rumor-approach from formal sociology (2002), Seikyusya: Seikyusya Tokyo, Japan
[2] Thomas, S., Lies, damn lies and rumors: an analysis of collective efficacy, rumors and fear in the wake of katrina, Sociol Spectr, 27, 679-703 (2007)
[3] Danzig, E.; Thayer, P.; Galanter, L., The effects of a threatening rumor on a disaster-stricken community (1958), National Academy of Science-National Research Council: National Academy of Science-National Research Council Washington, DC
[4] Galam, S., Modeling rumors: the no plane pentagon french hoax case, Phys A, 320, 571-580 (2003) · Zbl 1010.91088
[5] Grein, T.; Kamara, K.; Rodier, G.; Plant, A.; Heymann, D., Rumors of disease in the global village: outbreak verification, Emerging Infect Dis, 6, 2, 97-102 (2000)
[6] Zhang, Z. L.; Zhang, Z. Q., An interplay model for rumor spreading and emergency development, Phys A, 388, 4159-4166 (2009)
[7] Daley, D. J.; Kendall, D. G., Epidemic and rumors, Nature, 204, 1118 (1964)
[8] Maki, D.; Thomson, M., Mathematical models and applications (1973), Prentice-Hall: Prentice-Hall Englewood Cliffs
[9] Zanette, D. H., Criticality behavior of propagation on small-world networks, Phys Rev E, 64, 050501 (2001)
[10] Zanette, D. H., Dynamics of rumor propagation on small-world networks, Phys Rev E, 65, 041908 (2002)
[11] Moreno, Y.; Nekovee, M.; Pacheco, A. F., Dynamics of rumor spreading in complex networks, Phys Rev E, 69, 006130 (2004)
[12] Zhao, L.; Xie, W.; Gao, H.; Qiu, X.; Wang, X.; Zhang, S., A rumor spreading model with variable forgetting rate, Phys A, 392, 6146-6154 (2013) · Zbl 1395.05166
[13] Kandhway, K.; Kuri, J., How to run a campaign: optimal control of SIS and SIR information epidemics, Appl Math Comput, 231, 1, 79-92 (2014) · Zbl 1410.92124
[14] Xia, L.; Jiang, G.; Song, B.; Song, Y., Rumor spreading model considering hesitating mechanism in complex social networks, Phys A, 437, 295-303 (2015) · Zbl 1400.91439
[15] He, Z.; Cai, Z.; Yu, J.; Wang, X.; Sun, Y.; Li, Y., Cost-efficient strategies for restraining rumor spreading in mobile social networks, IEEE Trans Veh Technol, 66, 3, 2789-2800 (2017)
[16] Huo, L.; Wang, L.; Song, G., Global stability of a two-mediums rumor spreading model with media coverage, Phys A, 482, 757-771 (2017) · Zbl 1495.91093
[17] Zhu, L.; Zhao, H.; Wang, H., Complex dynamic behavior of a rumor propagation model with spatial-temporal diffusion terms, Inf Sci, 349-350, 119-136 (2016) · Zbl 1398.91489
[18] Feng, J.; Tay, W. P., An algorithmic framework for estimating rumor sources with different start times, IEEE Trans Signal Process, 65, 10, 2517-2530 (2017) · Zbl 1414.94281
[19] Zan, Y., DSIR Double-rumors spreading model in complex networks, Chaos Solitons Fractals, 110, 191-202 (2018) · Zbl 1395.91383
[20] Guo, H.; Li, M.; Shuai, Z., Global stability of the endemic equilibrium of multigroup SIR epidemic models, Can Appl Math Q, 3, 259-284 (2006) · Zbl 1148.34039
[21] Kuniya, T.; Wang, J., Global dynamics of an SIR epidemic model with nonlocal diffusion, Nonlinear Anal Real World Appl, 43, 262-282 (2018) · Zbl 1392.92102
[22] Yu, T.; Cao, D.; Liu, S., Epidemic model with group mixing: stability and optimal control based on limited vaccination resources, Commun Nonlinear Sci Numer Simul, 61, 54-70 (2018) · Zbl 1470.34206
[23] Diaz, P.; Constantine, P.; Kalmbach, K.; Jones, E.; Pankavich, S., A modified SEIR model for the spread of Ebola in western africa and metrics for resource allocation, Appl Math Comput, 324, 141-155 (2018) · Zbl 1426.92072
[24] Huang, S.; Chen, F.; Chen, L., Global dynamics of a network-based SIQRS epidemic model with demographics and vaccination, Commun Nonlinear Sci Numer Simul, 43, 296-310 (2017) · Zbl 1465.92058
[25] Cai, Y.; Kang, Y.; Wang, W., A stochastic SIRS epidemic model with nonlinear incidence rate, Appl Math Comput, 305, 221-240 (2017) · Zbl 1411.92267
[26] Chitnis, N.; Hyman, J. M.; Cushing, J. M., Determining important parameters in the spread of malaria through the sensitivity analysis of a mathematical model, Bull Math Biol, 70, 5, 1272-1296 (2008) · Zbl 1142.92025
[27] Zheng, T.; Nie, L., Modelling the transmission dynamics of two-strain dengue in the presence awareness and vector control, J Theor Biol, 443, 82-91 (2018) · Zbl 1397.92703
[28] Berman, A.; Plemmons, R. J., Nonnegative matrices in the mathematical sciences (1979), Academic Press: Academic Press New York · Zbl 0484.15016
[29] Driessche, P.; Watmough, J., Reproduction numbers and sub-threshold endemic equilibria for compartmental models of diseases transmission, Math Biosci, 180, 1-2, 29-48 (2002) · Zbl 1015.92036
[30] Muroya, Y.; Enatsu, Y.; Kuniya, T., Global stability for a multi-group SIRS epidemic model with varying population sizes, Nonlinear Anal Real World Appl, 14, 3, 1693-1704 (2013) · Zbl 1315.34052
[31] LaSalle, J. P., The stability of dynamical systems, CBMS-NSF Regional Conference Series in Applied Mathematics (1976) · Zbl 0364.93002
[32] Smith, H. L.; Waltman, P., The theory of the chemostat: dynamics of microbial competition (1995), Cambridge University Press: Cambridge University Press Cambridge · Zbl 0860.92031
[33] Wang, J.; Zhao, L.; Huang, R., 2SI2R rumor spreading model in homogeneous networks, Phys A, 413, 153-161 (2014) · Zbl 1402.91642
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