Dirichlet-Survival Process: Scalable Inference of Topic-Dependent Diffusion Networks

The Houston model jointly considers all three features: documents' content, time of publication relative to other publications, and position of the spreader in the network.

Data and Resources

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Ga¨el Poux-M´edard, Julien Velcin, Sabine Loudcher (2024). Dataset: Dirichlet-Survival Process: Scalable Inference of Topic-Dependent Diffusion Networks. https://doi.org/10.57702/eswslz6c

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2212.05996
Author Ga¨el Poux-M´edard
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Julien Velcin
Sabine Loudcher
Homepage https://github.com/GaelPouxMedard/HOUsToN