Influence Function Learning in Information Diffusion Networks

@article{Du2014InfluenceFL,
  title={Influence Function Learning in Information Diffusion Networks},
  author={Nan Du and Yingyu Liang and Maria-Florina Balcan and Le Song},
  journal={Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning},
  year={2014},
  volume={2014},
  pages={2016-2024}
}
Can we learn the influence of a set of people in a social network from cascades of information diffusion? This question is often addressed by a two-stage approach: first learn a diffusion model, and then calculate the influence based on the learned model. Thus, the success of this approach relies heavily on the correctness of the diffusion model which is hard to verify for real world data. In this paper, we exploit the insight that the influence functions in many diffusion models are coverage… CONTINUE READING
Highly Cited
This paper has 45 citations. REVIEW CITATIONS

References

Publications referenced by this paper.
Showing 1-10 of 25 references

Similar Papers

Loading similar papers…