In recent years, there has been stellar growth of location-based/enabled social networks in
which people can" check in" to physical venues they are visiting and share with friends. In …

Sequential interaction networks (SIN) have been commonly adopted in many applications
such as recommendation systems, search engines and social networks to describe the …

In the era of the social web, many people manage their social relationships through various
online social networking services. It has been found that identifying the types of social …

To depict ubiquitous relational data in real world, network data have been widely applied in
modeling complex relationships. Projecting vertices to low dimensional spaces, quoted as …

This book deals with network representation learning. It deals with embedding nodes,
edges, subgraphs and graphs. There is a growing interest in understanding complex …

With the growing complexity of scenarios relating to online social networks (OSNs), there is
an emergence of effective models and methods for understanding the characteristics and …

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

We study users' behavioral patterns in ephemeral social networks, which are temporarily
built based on events such as conferences. From the data distribution and social theory …

Many social network applications depend on robust representations of spatio-temporal data.
In this work, we present an embedding model based on feed-forward neural networks which …

Understanding social interactions involving both verbal and non-verbal cues is essential for
effectively interpreting social situations. However most prior works on multimodal social cues …