Epidemic spreading model of complex dynamical network with the heterogeneity of nodes |
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| Authors: | Sheng Hong Hongqi Yang Tingdi Zhao Xiaomin Ma |
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| Affiliation: | 1. Science and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and System Engineering, Beihang University, Beijing, China;2. The Fifth Electronics Research Institute of Ministry of Industry and Information Technology, Guangzhou, China;3. Department of Engineering &4. Physics Oral Roberts University, Tulsa, OK, USA |
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| Abstract: | In this paper, we model epidemic spreading by considering the mobility of nodes in complex dynamical network based on mean field theory using differential equations. Moreover, a resistance factor which can characterise the impact of individual's difference on the propagation dynamics in complex dynamical network is proposed by considering the influence of total number of connections and the continuous time to remain in contact. The effect of heterogeneity on the evolution process of propagation dynamics is explored by simulation. Extensive simulations are conducted to study the key influence parameters and the influence of them on the spreading dynamics, which are helpful to the understanding of epidemic spreading mechanism and the designing of effective control strategies. |
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| Keywords: | epidemic spreading model complex dynamical network propagation dynamics heterogeneity resistance factor |
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