Dynamic analysis and control of online information dissemination model considering information beneficiaries
With the rapid rise and widespread adoption of social media, theoretical research on the dynamics of online information dissemination has become increasingly important. Therefore, we developed a new model of information diffusion that took into account the influence of information recipients on the...
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Published in | AIMS mathematics Vol. 10; no. 3; pp. 4992 - 5020 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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AIMS Press
01.03.2025
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Subjects | |
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Abstract | With the rapid rise and widespread adoption of social media, theoretical research on the dynamics of online information dissemination has become increasingly important. Therefore, we developed a new model of information diffusion that took into account the influence of information recipients on the diffusion of information. First, initially, the basic reproduction number of the model was calculated. Then, we analyzed the existence and stability of the equilibrium point. Next, based on the principle of Pontryagin's maximum principle, a control strategy was derived to effectively enhance the propagation of information. Numerical simulations verified the results of theoretical analysis. The results showed that increasing the proportion of propagators and the probability of beneficiaries transitioning into propagators significantly accelerated the speed and extent of information diffusion. |
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AbstractList | With the rapid rise and widespread adoption of social media, theoretical research on the dynamics of online information dissemination has become increasingly important. Therefore, we developed a new model of information diffusion that took into account the influence of information recipients on the diffusion of information. First, initially, the basic reproduction number of the model was calculated. Then, we analyzed the existence and stability of the equilibrium point. Next, based on the principle of Pontryagin's maximum principle, a control strategy was derived to effectively enhance the propagation of information. Numerical simulations verified the results of theoretical analysis. The results showed that increasing the proportion of propagators and the probability of beneficiaries transitioning into propagators significantly accelerated the speed and extent of information diffusion. |
Author | Hu, Yuhan Guo, Haomiao li, Jun Lu, Shichang Zhang, Xuechao Wei, Xiaoyan |
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Cites_doi | 10.1016/j.physa.2018.04.082 10.1038/srep00335 10.1016/j.physa.2015.12.056 10.3390/computation12010007 10.21236/ADA031020 10.1073/pnas.0810762106 10.1016/j.jarmac.2017.07.008 10.1090/S0894-0347-1992-1124979-1 10.1093/imamat/1.1.42 10.2307/2655234 10.1145/2503792.2503797 10.1038/2041118a0 10.1016/s0166-4972(03)00095-6 10.1109/ACCESS.2019.2939150 10.1109/TNSE.2015.2425961 10.1038/srep01801 10.1007/s10955-012-0595-6 10.1016/j.bushor.2011.01.005 10.1016/j.physd.2006.01.021 10.1016/j.physa.2016.06.080 10.1098/rspa.1917.0015 10.1016/j.physa.2016.09.035 10.1155/2022/5503137 10.1080/0268111011011847 10.1371/journal.pone.0268326 10.1103/physrevlett.132.250402 10.1016/j.physa.2018.08.081 10.1016/j.nahs.2017.08.002 10.1155/2007/64870 |
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Title | Dynamic analysis and control of online information dissemination model considering information beneficiaries |
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