Extracting Diffusion Channels from Real-World Social Data: a Delay-Agnostic Learning of Transmission Probabilities

Sylvain Lamprier, Simon Bourigault, Patrick Gallinari. Extracting Diffusion Channels from Real-World Social Data: a Delay-Agnostic Learning of Transmission Probabilities. In Jian Pei, Fabrizio Silvestri, Jie Tang, editors, Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015, Paris, France, August 25 - 28, 2015. pages 178-185, ACM, 2015. [doi]

@inproceedings{LamprierBG15,
  title = {Extracting Diffusion Channels from Real-World Social Data: a Delay-Agnostic Learning of Transmission Probabilities},
  author = {Sylvain Lamprier and Simon Bourigault and Patrick Gallinari},
  year = {2015},
  doi = {10.1145/2808797.2808865},
  url = {http://doi.acm.org/10.1145/2808797.2808865},
  researchr = {https://researchr.org/publication/LamprierBG15},
  cites = {0},
  citedby = {0},
  pages = {178-185},
  booktitle = {Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015, Paris, France, August 25 - 28, 2015},
  editor = {Jian Pei and Fabrizio Silvestri and Jie Tang},
  publisher = {ACM},
  isbn = {978-1-4503-3854-7},
}