Gathering events, eg, going to gyms and meetings, are ubiquitous and crucial in the
spreading phenomena, which induce higher-order interactions, and thus can be described …

Online social networks provide an opportunity to spread messages and news fast and
widely. One may appreciate the quick spread of legitimate news and messages but …

The proliferation of fake news on social media has opened up new directions of research for
timely identification and containment of fake news and mitigation of its widespread impact on …

Influence Maximization (IM), which selects a set of k users (called seed set) from a social
network to maximize the expected number of influenced users (called influence spread), is a …

Network embedding, as an approach to learn lowdimensional representations of vertices,
has been proved extremely useful in many applications. Lots of state-of-the-art network …

Research on social networks has exploded over the last decade. To a large extent, this has
been fueled by the spectacular growth of social media and online social networking sites …

Along with the development of Information Technology, Online Social Networks (OSN) are
constantly developing and have become popular media in the world. Besides …

Models for the processes by which ideas and influence propagate through a social network
have been studied in a number of domains, including the diffusion of medical and …

Rumors can propagate at great speed through social networks and produce significant
damages. In order to control rumor propagation, spreading correct information to …

Influence maximization is a well-studied problem that asks for a small set of influential users
from a social network, such that by targeting them as early adopters, the expected total …