In the fast-growing scholarly big data background, social network technologies have recently
aroused widespread attention in academia and industry. The concept of academic social …

The deluge of digital information in our daily life—from user-generated content, such as
microblogs and scientific papers, to online business, such as viral marketing and advertising …

Social networking websites allow users to create and share content. Big information
cascades of post resharing can form as users of these sites reshare others' posts with their …

Data sparsity is one of the most challenging problems for recommender systems. One
promising solution to this problem is cross-domain recommendation, ie, leveraging …

Information cascades, effectively facilitated by most social network platforms, are recognized
as a major factor in almost every social success and disaster in these networks. Can …

Event sequence, asynchronously generated with random timestamp, is ubiquitous among
applications. The precise and arbitrary timestamp can carry important clues about the …

Online social media remarkably facilitates the production and delivery of information,
intensifying the competition among vast information for users' attention and highlighting the …

Effectively predicting the size of an information cascade is critical for many applications
spanning from identifying viral marketing and fake news to precise recommendation and …

Predicting popularity, or the total volume of information outbreaks, is an important
subproblem for understanding collective behavior in networks. Each of the two main types of …

Online social networking services allow their users to post content in the form of text, images
or videos. The main mechanism driving content diffusion is the possibility for users to re …