Prediction models for network multi-source dissemination of information based on multivariate chaotic time series

@article{Baosong2017PredictionMF,
  title={Prediction models for network multi-source dissemination of information based on multivariate chaotic time series},
  author={Mi Baosong and Song Chenguang},
  journal={2017 3rd IEEE International Conference on Computer and Communications (ICCC)},
  year={2017},
  pages={767-771}
}
Accurately predicting the future tendency of network sentiment plays a critical role in supervising and guiding the diffusion of network public event. In response to the distinction of different network platform in occurring time and dissemination mechanism, according to information diffusion theory, this paper adopts data on multi-platform, which could more completely describe the propagation of hot events. Univariate time series is extended to multivariate time series in order to improve the… CONTINUE READING

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