Dynamical behavior of a rumor transmission model with Holling-type II functional response in emergency event

Rumor transmission has become an important issue in emergency event. In this paper, a rumor transmission model with Holling-type II functional response was proposed, which provides excellent explanations of the scientific knowledge effect with rumor spreading. By a global analysis of the model and studying the stability of the rumor-free equilibrium and the rumor-endemic equilibrium, we found that the number of infective individuals equal to zero or positive integer as time went on. A numerical simulation is carried out to illustrate the feasibility of our main results. The results will provide the theoretical support to rumor control in emergency event and also provide decision makers references for the public opinions management.

[1]  Dejun Tan,et al.  Chaos in periodically forced Holling type II predator–prey system with impulsive perturbations , 2006 .

[2]  M. Kosfeld Rumours and Markets , 2005 .

[3]  Lansun Chen,et al.  Modeling and analysis of a predator-prey model with disease in the prey. , 2001, Mathematical biosciences.

[4]  Ruoyan Sun,et al.  Global stability of multigroup epidemic model with group mixing and nonlinear incidence rates , 2011, Appl. Math. Comput..

[5]  Jiajia Wang,et al.  2SI2R rumor spreading model in homogeneous networks , 2014 .

[6]  Jiajia Wang,et al.  SIRaRu rumor spreading model in complex networks , 2014 .

[7]  M. Li,et al.  Global dynamics of a SEIR model with varying total population size. , 1999, Mathematical Biosciences.

[8]  Jiajia Wang,et al.  SIR rumor spreading model in the new media age , 2013 .

[9]  Serge Galam,et al.  Modelling rumors: the no plane Pentagon French hoax case , 2002, cond-mat/0211571.

[10]  Zhen Qian,et al.  The independent spreaders involved SIR Rumor model in complex networks , 2015 .

[11]  C. Watkins,et al.  The spread of awareness and its impact on epidemic outbreaks , 2009, Proceedings of the National Academy of Sciences.

[12]  Yamir Moreno,et al.  Theory of Rumour Spreading in Complex Social Networks , 2007, ArXiv.

[13]  Benjamin Ivorra,et al.  Be-CoDiS: A Mathematical Model to Predict the Risk of Human Diseases Spread Between Countries—Validation and Application to the 2014–2015 Ebola Virus Disease Epidemic , 2014, Bulletin of mathematical biology.

[14]  Weihua Li,et al.  The rumor diffusion process with emerging independent spreaders in complex networks , 2014 .

[15]  Ping Li,et al.  SICR rumor spreading model in complex networks: Counterattack and self-resistance , 2014 .

[16]  Ljupco Kocarev,et al.  Model for rumor spreading over networks. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[17]  Sergio Gómez,et al.  On the dynamical interplay between awareness and epidemic spreading in multiplex networks , 2013, Physical review letters.

[18]  Guirong Jiang,et al.  Complex dynamics of a Holling type II prey–predator system with state feedback control , 2007 .

[19]  Alessandro Flammini,et al.  Optimal network clustering for information diffusion , 2014, Physical review letters.

[20]  Xiang Ao,et al.  Energy model for rumor propagation on social networks , 2014 .

[21]  P. Holmes,et al.  Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields , 1983, Applied Mathematical Sciences.

[22]  Xiaofan Wang,et al.  Generalized local-world models for weighted networks. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[23]  Sergio Gómez,et al.  Competing spreading processes on multiplex networks: awareness and epidemics , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

[24]  Shaun A. Thomas LIES, DAMN LIES, AND RUMORS: AN ANALYSIS OF COLLECTIVE EFFICACY, RUMORS, AND FEAR IN THE WAKE OF KATRINA , 2007 .

[25]  Lansun Chen,et al.  A Holling II functional response food chain model with impulsive perturbations , 2005 .

[26]  S. Fortunato,et al.  Statistical physics of social dynamics , 2007, 0710.3256.

[27]  Yukihiko Nakata,et al.  Stability analysis of delayed SIR epidemic models with a class of nonlinear incidence rates , 2012, Appl. Math. Comput..

[28]  G. P. Samanta,et al.  Dynamical Behaviour of a Two Prey and One Predator System , 2014 .

[29]  Jingjing Cheng,et al.  SIHR rumor spreading model in social networks , 2012 .

[30]  Zhidong Teng,et al.  Analysis of a predator-prey model with Holling II functional response concerning impulsive control strategy , 2006 .