SIR rumor spreading model considering the effect of difference in nodes’ identification capabilities

Ya-Qi Wang and Jing Wang ()
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Ya-Qi Wang: Department of Electronics Technology, Engineering University of the Chinese People’s Armed, Police Force, Xi’an 710086, P. R. China
Jing Wang: Department of Electronics Technology, Engineering University of the Chinese People’s Armed, Police Force, Xi’an 710086, P. R. China

International Journal of Modern Physics C (IJMPC), 2017, vol. 28, issue 05, 1-15

Abstract: In this paper, we study the effect of difference in network nodes’ identification capabilities on rumor propagation. A novel susceptible-infected-removed (SIR) model is proposed, based on the mean-field theory, to investigate the dynamical behaviors of such model on homogeneous networks and inhomogeneous networks, respectively. Theoretical analysis and simulation results demonstrate that when we consider the influence of difference in nodes’ identification capabilities, the critical thresholds obviously increase, but the final rumor sizes are apparently reduced. We also find that the difference in nodes’ identification capabilities prolongs the time of rumor propagation reaching a steady state, and decreases the number of nodes that finally accept rumors. Additionally, under the influence of difference of nodes’ identification capabilities, compared with the homogeneous networks, the rumor transmission rate on the inhomogeneous networks is relatively large.

Keywords: Rumor spreading; node identification capability; homogeneous networks; inhomogeneous networks (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (6)

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DOI: 10.1142/S0129183117500607

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