Dynamical behaviours and control measures of rumour-spreading model with consideration of network topology. Issue 10 (27th July 2017)

• Record Type: Journal Article
• Authors: Zhu, Linhe; Zhao, Hongyong
• Is Part Of: International journal of systems science. Volume 48:Issue 10(2017)
• Page Start: 2064
• Page End: 2078
• Publication Date: 2017-07-27
• Subjects: Rumour propagation -- network topology -- stability -- delay -- control; System analysis -- Periodicals; 003.3
• DOI: 10.1080/00207721.2017.1312628
• Languages: English
• ISSNs: 0020-7721

Abstract

ABSTRACT: A series of online rumours have seriously influenced the normal production and living of people. This paper aims to study the combined impact of psychological factor, propagation delay, network topology and control strategy on rumour diffusion over the online social networks. Based on an online social network, which is seen as a scale-free network, we model the spread of rumours by using a delayed SIS (Susceptible and Infected) epidemic-like model with consideration of psychological factor and network topology. First, through theoretical analysis, we illustrate the boundedness of the density of rumour-susceptible individuals and rumour-infected individuals. Second, we obtain the basic reproduction number R 0 and prove the stability of the non-rumour equilibrium point and the rumour-spreading equilibrium point. Third, control strategies, such as uniform immunisation control, proportional immunisation control, targeted immunisation control and optimum control, are put forward to restrain rumour diffusion. Meanwhile, we have compared the differences of these control strategies. Finally, some representative numerical simulations are performed to verify the theoretical analysis results.