Supervised learning, while prevalent for information cascade modeling, often requires
abundant labeled data in training, and the trained model is not easy to generalize across …

The potential impact of a paper is often quantified by how many citations it will receive.
However, most commonly used models may underestimate the influence of newly published …

Wide-spread use of transfer learning establishes inter-linkages between otherwise disparate
parts of systems. These inter-linkages create systemic risks of cascading failure. This paper …

Microblogging platforms have become popular for sharing knowledge and communicating
with others. Rumours and current trends can be identified promptly if popular information …

Users increasing activity across various social networks made it the most widely used
platform for exchanging and propagating information among individuals. To spread …

The behavior of information cascades (such as retweets) has been modeled extensively.
While point process-based generative models have long been in use for estimating cascade …