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• W4385612888 abstract "Currently, information diffusion on online platforms plays an important role in social governance. Opinions contained in information have a significant influence on information diffusion. However, both classic and extended diffusion models lack consideration of the influence of opinions. Therefore, in this study, we propose an opinion-aware information diffusion model based on the multivariate marked Hawkes process to simulate the information diffusion process with effect of opinions. In addition, to simulate this process more accurately, we consider various endogenous and exogenous stimuli apart from the opinion. Simulation results show that the diffusion trend prediction evaluation metrics of our model are 31.4% (on average) better than the contemporary models tested. Moreover, the effects of internal and external factors are found to be qualitatively similar to the real information diffusion process; hence, we gain useful inspiration for social network research and public opinion guidance." @default.
• W4385612888 created "2023-08-07" @default.
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• W4385612888 date "2023-11-01" @default.
• W4385612888 modified "2023-10-09" @default.
• W4385612888 title "Opinion-aware information diffusion model based on multivariate marked Hawkes process" @default.
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• W4385612888 doi "https://doi.org/10.1016/j.knosys.2023.110883" @default.
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