Bifurcation and Control of a Delayed Diffusive Logistic Model in Online Social Networks
Online social networks have become a popular source for disseminating information and facilitating the building of social relations among a huge number of people.Recently,several partial differential equations were proposed to model the spatio-temporal dynamics of information diffusion in online social networks.As a result,mathematical results of reaction-diffusion equations can be used to help understand the mechanism of information diffusion and,in particular,increase the efficiency of distributing positive information while reducing unwanted information.In this paper,we develop a Partial Differential Equation (PDE) with a delayed feedback controller to effectively control the spread of harmful information.Applying the theory of partial function differential equation,we present verifiable control conditions for stability and Hopf bifurcation of the feedback control system.Examples are given to demonstrate that the delayed feedback controller can reduce the density of influenced users effectively and delay the onset of Hopf bifurcation as well.
Online social networks stability Hopf bifurcation control
ZHU Linhe ZHAO Hongyong WANG Haiyan
Department of Mathematics,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China School of Mathematical and Natural Sciences,Arizona State University,Phoenix AZ 85069-7100,USA
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
2773-2778
2014-07-28(万方平台首次上网日期,不代表论文的发表时间)