|
|
Dynamics of a stochastic rumor propagation model incorporating media coverage and driven by Lévy noise |
Liang-An Huo(霍良安)1, Ya-Fang Dong(董雅芳)1, and Ting-Ting Lin(林婷婷)2,† |
1 Business School, University of Shanghai for Science and Technology, Shanghai 200093, China; 2 School of Electrical and Information Engineering, Shanghai Jiao Tong University, Shanghai 200240, China |
|
|
Abstract With the development of information technology, rumors propagate faster and more widely than in the past. In this paper, a stochastic rumor propagation model incorporating media coverage and driven by Lévy noise is proposed. The global positivity of the solution process is proved, and further the basic reproductive number R0 is obtained. When R0 < 1, the dynamical process of system with Lévy jump tends to the rumor-free equilibrium point of the deterministic system, and the rumor tends to extinction; when R0 > 1, the rumor will keep spreading and the system will oscillate randomly near the rumor equilibrium point of the deterministic system. The results show that the oscillation amplitude is related to the disturbance of the system. In addition, increasing media coverage can effectively reduce the final spread of rumors. Finally, the above results are verified by numerical simulation.
|
Received: 22 March 2021
Revised: 18 May 2021
Accepted manuscript online: 24 May 2021
|
PACS:
|
02.30.Jr
|
(Partial differential equations)
|
|
02.50.Ey
|
(Stochastic processes)
|
|
02.50.Fz
|
(Stochastic analysis)
|
|
02.30.-f
|
(Function theory, analysis)
|
|
Fund: Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning, and the Project for the Natural Science Foundation of Shanghai (Grant No. 21ZR1444100), and the Project for the National Natural Science Foundation of China (Grant Nos. 71774111, 61702331, 71871144). |
Corresponding Authors:
Ting-Ting Lin
E-mail: lintingting00@163.com
|
Cite this article:
Liang-An Huo(霍良安), Ya-Fang Dong(董雅芳), and Ting-Ting Lin(林婷婷) Dynamics of a stochastic rumor propagation model incorporating media coverage and driven by Lévy noise 2021 Chin. Phys. B 30 080201
|
[1] Chen G H 2019 Phys. A 522 88 [2] Zhou X Z and Feng H H 2019 J. Comput. Commun. 7 1 [3] Choi D J, Chun S L, Oh H C, Han J Y and Kwon T 2020 Sci. Rep. 1 [4] Alkhodair S A, Ding S H H, Fung B C M and Liu J Q 2020 Inf. Process. Manag. 57 102018 [5] Li Q Z, Zhang Q, Si L and Liu Y C 2019 Rumor Detection on Social Media:Datasets, Methods and Opportunities p. 66 [6] Daley D J and Kendal D G 1965 J. Inst. Maths Applics 1 42 [7] Maki D P and Thompson M 1973 Mathematical models and applications:With emphasis on the social, life, and management sciences (New Jersey:Prentice-Hall) 9780135616703 [8] Zanette D H 2001 Phys. Rev. E 64 050901 [9] Zanette D H 2002 Phys. Rev. E 65 041908 [10] Moreno Y, Nekovee M and Pacheco A F 2004 Phys. Rev. E 69 066130 [11] Li Y F and Cui J G 2009 Commun. Nonlinear Sci. Numer. Simul 14 2353 [12] Sun C J, Yang W Arino J and Khan K 2011 Math. Biosci. 230 87 [13] Tchuenche J Dube N Bhunu C Smith R and Bauch C 2011 BMC Public Health 11 1 [14] Li J R, Jiang H J, Yu Z Y and Hu C 2019 Appl. Math. Comput. 359 374 [15] Huo L A, Wang L and Zhao X M 2019 Phys. A 517 551 [16] Yan J, Santosh V, Itai H and Glen N 2018 Am. J. Infect. Control 46 850 [17] Misra A K, Sharma A and Shukla J B 2011 Math. Comput. Model. Dyn. Syst. 53 1221 [18] Zhou X Z and Feng H H 2019 J. Comput. Commun. 7 1 [19] Lung X Y and Wan Y H 2017 Nanjing Youdian Daxue Xuebao 37 120 [20] Dauhoo M Z, Juggurnath D and Badurally A N 2016 Math. Soc. Sci. 82 85 [21] Jia F G and Lv G Y 2018 Phys. A 490 613 [22] Li D X and Li Y 2017 Chin. Phys. B 26 090203 [23] Ankur J, Joydip D and Vijay G 2019 Phys. A 519 227 [24] Lévy P 1934 Ann. R. Scuola Norm. Super. Pisa 3 337 [25] Khintchine 1937 Bull. Moscow State Univ. 1 1 [26] Brockmann D, Hufnagel L and Geisel T 2006 Nature 439 462 [27] Nekovee M, Moreno Y Bianconi G and Marsili M 2007 Phys. A 374 457 [28] Applebaum D 2009 Lévy process and stochastic calculus (New York:Cambridge Press) [29] Øksendal B and Sulen A 2005 Applied stochastic control of jump diffusions (Berlin:Springer) [30] Situ R 2005 Theory of stochastic differential equations with jumps and applications (Berlin:Springer) [31] Mao X 2008 Stochastic differential equations and applications 2nd Ed. (Chichester:Horwood) [32] Zheng J, Lin Z Y, Tong C Q and Ye R D 2017 Phys. A 473 461 |
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|