AI has provided us with the ability to automate tasks, extract information from vast amounts of
data, and synthesize media that is nearly indistinguishable from the real thing. However …

The increasing popularity and diversity of social media sites has encouraged more and
more people to participate on multiple online social networks to enjoy their services. Each …

In this paper, we adopt the representation learning approach to align users across multiple
social networks where the social structures of the users are exploited. In particular, we …

Cyber bullying, digital identity, impact of digital footprints, and use of inappropriate social
media are topics that are gaining attention in K-12 schools. As more schools and school …

Predicting anchor links across social networks has important implications to an array of
applications, including cross-network information diffusion and cross-domain …

The purpose of this paper is to examine the utilization of the marketing adaptability of
branded mobile applications (apps) in order to understand the relationship between …

Cross-platform account matching plays a significant role in social network analytics, and is
beneficial for a wide range of applications. However, existing methods either heavily rely on …

Online social networks can often be represented as heterogeneous information networks
containing abundant information about: who, where, when and what. Nowadays, people are …

Multilayer networks, in particular multilayer social networks, where users belong to and
interact on different networks at the same time, are an active research area in social network …

Various forms of social media (SM) appear to be very popular among young people
because they provide information and entertainment, including a wide range of web …