Sentiment analysis of the text deals with the mining of the opinions of people from their
written communication. With the increasing usage of online social media platforms for user …

Numerous algorithms have been proposed to infer the underlying structure of the social
networks via observed information propagation. The previously proposed algorithms …

Access to complete data in large-scale networks is often infeasible. Therefore, the problem
of missing data is a crucial and unavoidable issue in the analysis and modeling of real-world …

Diffusion network inference aims to reveal the message propagation process among users
and has attracted many research interests due to the fundamental role it plays in some real …

Network representation learning (NRL) and cascade representation learn-ing (CRL) are
fundamental backbones of different kinds of network analysis problems. They are usually …