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 …

The recent serious cases of spreading false information have posed a significant threat to
the social stability and even national security, urgently requiring all circles to respond …

Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

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 …

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 …

On many social networking web sites such as Facebook and Twitter, resharing or reposting
functionality allows users to share others' content with their own friends or followers. As …

Viral products and ideas are intuitively understood to grow through a person-to-person
diffusion process analogous to the spread of an infectious disease; however, until recently it …

In this work, we present a method for node embedding in temporal graphs. We propose an
algorithm that learns the evolution of a temporal graph's nodes and edges over time and …

Popularity prediction on microblogging platforms aims to predict the future popularity of a
message based on its retweeting dynamics in the early stages. Existing works mainly focus …

On Twitter-like social media sites, the re-posting statuses or tweets of other users are usually
considered to be the key mechanism for spreading information. How to predict whether a …