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Deep Learning Approach on Information Diffusion in Heterogeneous Networks
[article]
2019
arXiv
pre-print
There are many real-world knowledge based networked systems with multi-type interacting entities that can be regarded as heterogeneous networks including human connections and biological evolutions. One of the main issues in such networks is to predict information diffusion such as shape, growth and size of social events and evolutions in the future. While there exist a variety of works on this topic mainly using a threshold-based approach, they suffer from the local viewpoint on the network
arXiv:1902.08810v1
fatcat:wqpp552pdraffh7pcp3dfzv46a