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An Epidemic Model of Information Dissemination in Mobile Social Networks
Wang Weiguo,Chu Chen,Liu Jinzhuo,Li Tairan 보안공학연구지원센터(IJUNESST) 2015 International Journal of u- and e- Service, Scienc Vol.8 No.1
In this paper, we propose a new model for information dissemination in mobile social networks. The dynamic equation of information dissemination is modified. Moreover, we investigate numerically the behavior of the model on a real scale-free social site with the exponent γ =1.08. We find that initial spreaders with big out-degree of can accelerate information dissemination, and the nodes with large in-degree would be easier to be a spreader or to become to stiflers.
Xianlin Li,Biao Huang,Tairan Chen,Ying Liu,Sicong Qiu,Jing Zhao 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.1
We investigated the influence of geometrical parameters of the orifice plate on the cavitation structures, and optimized these parameters by using a surrogate-based model with special emphasis on the concentration of hydroxyl radical released. The results show that for the orifice plate of the hydrodynamic cavitation system, the possible location of the inception of the cavity spreads to throat and divergent section of the venturi geometry. Based on the surrogate model and global sensitivity assessment, the diameter of throat D t and diameter of inlet D in significantly influenced the size of the cavity, while the length of throat L t had little effect on both cavitation intensity and flow rate. It should be noted that when L t is decreased, the size of cavity would be slightly decreased but the flow rate increased clearly. The increase of the diverging section is in favor of the size of cavity. By comparing the experimental measurements on the concentration of Methylene blue, the optimum geometry of the orifice plate for best cavitational activity is proposed.
Role of Tie Strength in Information Dissemination in Mobile Social Networks
Wang Weiguo,Chu Chen,Liu Jinzhuo,Li Tairan 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.3
In this paper, we propose a new model for information dissemination in mobile social networks, in which the infectious probability is defined as a function of the homogeneity and heterogeneity between nodes. Moreover, we investigate numerically the behavior of the model on a real scale-free social site with the exponent γ =1.08. We find that weak ties between nodes play an important role in information dissemination process. Specially, selecting weak ties preferentially can make information spread faster and wider, and the efficiency of diffusion will be greatly affected after removing them.