2019
DOI: 10.6084/m9.figshare.7565894
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Predicting Diffusion Reach Probabilities via Representation Learning on Social Networks

Abstract: Diffusion reach probability between two nodes on a network is defined as the probability of a cascade originating from one node reaching to another node. An infinite number of cascades would enable calculation of true diffusion reach probabilities between any two nodes. However, there exists only a finite number of cascades and one usually has access only to a small portion of all available cascades. In this work, we addressed the problem of estimating diffusion reach probabilities given only a limited number … Show more

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