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SIR Rumor Spreading Model with Network Medium in Complex Social Networks
並列摘要
In this paper, taking into consideration the influence of the network medium, we propose a novel susceptible-infected-removed (SIR) model to study rumor spreading, and discuss by means of mean-field theory the dynamical behaviors of the SIR model on homogeneous networks and inhomogeneous networks, respectively. Theoretical analysis and simulation results show that, on both networks, the existence of the network medium greatly reduces the critical thresholds and increases the final rumor size. By numerical simulations, we also find that rumor spreading obviously accelerates with an increase of the infectivity between persons and the network medium, but the influence of the network medium on homogeneous networks is greater than on inhomogeneous networks. Therefore, to effectively control rumor spreading, it will not only be necessary to control the rumor spreading rate among different individuals, but one also needs to control the infectivity between persons and the network medium.
並列關鍵字
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- 陳樹群、陳聯光（1996）。Random Channel Networks Growth and Modeling。中華水土保持學報，27(4)，283-292。https://doi.org/10.29417/JCSWC.199612_27(4).0004
- Hsiao, P. N. (2008). Modeling and Simulation of Social Networks [doctoral dissertation, Tamkang University]. Airiti Library. https://doi.org/10.6846/TKU.2008.00076
- Piqueira, J. R. C. (2010). Rumor Propagation Model: An Equilibrium Study. Mathematical Problems in Engineering, 2010(), 1261-1267-172. https://doi.org/10.1155/2010/631357
- Zhao, L., Wang, X., Wang, J., Qiu, X., & Xie, W. (2014). Rumor-Propagation Model with Consideration of Refutation Mechanism in Homogeneous Social Networks. Discrete Dynamics in Nature and Society, 2014(), 848-858-181. https://doi.org/10.1155/2014/659273
- Zhao, X. X., & Wang, J. Z. (2014). Dynamical Behaviors of Rumor Spreading Model with Control Measures. Abstract and Applied Analysis, 2014(), 527-537-255. https://doi.org/10.1155/2014/247359