A SEIS Criss-Cross Model for Online Social Networks Communities
DOI:
https://doi.org/10.26713/cma.v12i3.1566Keywords:
Online social network, SEIS criss-cross model, Stability Analysis, Numerical Analysis.Abstract
Social Network has become important part of our daily life. An average number of people spend a lot of time of their daily life on social network. People belonging to different classes, communities or groups share their opinion or thoughts over a particular issue through social network. These ideologies supporting the arguments either join or divide people among different group on social network. The thoughts or opinions of different people belonging to different classes or communities create a negative environment among them and this resulting in social network attack from one group over the other. Consequently, it creates a criss-cross like environment over the social network and raises an idea of developing criss-cross epidemic model in order to minimize or restrict the epidemic outbreak. In this paper we have proposed a criss-cross epidemic model for attacks on online social networks. We drive the expression for Reproduction Number for given model and analyzed stability of equilibrium point in term of reproduction number. Also establish the Global stability of the model at endemic equilibrium. Finally, numerical simulation of given model using matlab has been done.
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References
Brass,D. J., Butterfield, K. D., & Skaggs, B. C. (1998). Relationships and unethical behavior: A social network perspective. Academy of Management Review, 14-31.
X. Han and Q. Tan, "Dynamical behavior of computer virus on internet”, Appl. Math. Comput., vol. 217, no. 6, (2010), pp. 2520–2526.
Zhaoyang zhang, Honggang wang, Chonggang wang, (senior member, ieee), and Hua fang, "Modeling Epidemics Spreading on Social Contact Networks”, Digital Object Identifier 10.1109/TETC.2015.2398353.
W. O. Kermack and A. G. Mckendrick, "A contribution to the mathematical theory of epidemics”, Proc. Roy. Soc. Lond. A, vol. 115, (1927), pp. 700–721.
W. O. Kermack and A. G. McKendrick, "Contributions of mathematical theory to epidemics”, Proc. R. Soc. Lon. Ser. A, vol. 138, (1932), pp. 55–83.
W. O. Kermack and A. G. McKendrick, "Contributions of mathematical theory to epidemics”, Proc. R. Soc. Lon. Ser. A, vol. 141, (1933), pp. 94–122.
S. Olaniyi, O.S. Obabiyi, "Mathematical model for malaria transmission dynamics in human and mosquito populations with nonlinear forces of infection” International Journal of Pure and Applied Mathematics Volume 88 No. 1 2013, 125-156.
R. M. May and A. L. Lloyd, "Infection dynamics on scale-free networks”, Phys. Rev. E, vol. 64, no. 066112, (2001), pp. 1–3.
C. C. Zou, W. Gong and D. Towsley, "Worm propagation modelling and analysis under dynamic quarantine defense”, Proceeding of the ACM CCS Workshop on Rapid Malcode, ACM, (2003), pp. 51–60.
M. Draief, A. Ganesh and L. Massouili, "Thresholds for virus spread on network”, Ann. Appl. Prob., vol. 18, no. 2, (2008), pp. 359 – 369.
JM. Haffernan, RJ Smith, LM. Wahi, Perspectives on basic reproductive ratio.J R Soc Interface 2005;2:281-93.
C. CONNELL,MC CLUSKEY, "Lyapunov functions for tuberculosis models with fast and slow progression”, Mathematical Biosciences and Engineering volume 3, number 4, October 2006 pp. 603–614.
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