Weaving Information Propagation: Modeling the Way Information Spreads in Document Collections

Charles Huyghues-Despointes, Leila Khouas, Julien Velcin, Sabine Loudcher. Weaving Information Propagation: Modeling the Way Information Spreads in Document Collections. In Marie-Jean Meurs, Frank Rudzicz, editors, Advances in Artificial Intelligence - 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, Kingston, ON, Canada, May 28-31, 2019, Proceedings. Volume 11489 of Lecture Notes in Computer Science, pages 394-399, Springer, 2019. [doi]

@inproceedings{Huyghues-Despointes19,
  title = {Weaving Information Propagation: Modeling the Way Information Spreads in Document Collections},
  author = {Charles Huyghues-Despointes and Leila Khouas and Julien Velcin and Sabine Loudcher},
  year = {2019},
  doi = {10.1007/978-3-030-18305-9_35},
  url = {https://doi.org/10.1007/978-3-030-18305-9_35},
  researchr = {https://researchr.org/publication/Huyghues-Despointes19},
  cites = {0},
  citedby = {0},
  pages = {394-399},
  booktitle = {Advances in Artificial Intelligence - 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, Kingston, ON, Canada, May 28-31, 2019, Proceedings},
  editor = {Marie-Jean Meurs and Frank Rudzicz},
  volume = {11489},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-18305-9},
}