A Model-Free Approach to Infer the Diffusion Network from Event Cascade

@inproceedings{Rong2016AMA,
  title={A Model-Free Approach to Infer the Diffusion Network from Event Cascade},
  author={Yu Rong and Qiankun Zhu and Hong Cheng},
  booktitle={CIKM},
  year={2016}
}
Information diffusion through various types of networks, such as social networks and media networks, is a very common phenomenon on the Internet nowadays. In many scenarios, we can track only the time when the information reaches a node. However, the source infecting this node is usually unobserved. Inferring the underlying diffusion network based on cascade data (observed sequence of infected nodes with timestamp) without additional information is an essential and challenging task in… CONTINUE READING
8 Citations
6 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-6 of 6 references

Structure and dynamics of information pathways in online media

  • M. Gomez Rodriguez, J. Leskovec, B. Schölkopf
  • In WSDM,
  • 2013
Highly Influential
19 Excerpts

On the distribution of the two-sample cramer-von mises criterion

  • T. W. Anderson
  • The Annals of Mathematical Statistics,
  • 1962
Highly Influential
5 Excerpts

Similar Papers

Loading similar papers…