Social Network User Influence Dynamics Prediction

@inproceedings{Li2013SocialNU,
  title={Social Network User Influence Dynamics Prediction},
  author={Jingxuan Li and Wei Peng and Tao Li and Tong Sun},
  booktitle={APWeb},
  year={2013}
}
Identifying influential users and predicting their “network impact” on social networks have attracted tremendous interest from both academia and industry. Most of the developed algorithms and tools are mainly dependent on the static network structure instead of the dynamic diffusion process over the network, and are thus essentially based on descriptive models instead of predictive models. In this paper, we propose a dynamic information propagation model based on Continuous-Time Markov Process… CONTINUE READING
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