The interactions between humans and their environment, comprising living and non-living
entities, can be studied via Social Network Analysis (SNA). Node classification, as well as …

Users on social networks primarily do two things, connect to existing or new friends and
exchange information. Recently, social media apps have become the primary information …

Understanding users' behavior in Location-based Social Networks (LBSNs) is becoming an
interesting research topic. In LBSNs, users can explore the places of interest around their …

As mobile devices are becoming ubiquitous nowadays, the geographical activities and
interactions of human beings can be easily recorded and accessed. Each mobile individual …

Social relationship understanding infers existing social relationships among individuals in a
given scenario, which has been demonstrated to have a wide range of practical value in …

Location-based social networks (LBSNs) have recently attracted a lot of attention due to the
number of novel services they can offer. Prior work on analysis of LBSNs has mainly focused …

The rapid growth of users' involvement in Location-Based Social Networks has led to the
expeditious growth of the data on a global scale. The need of accessing and retrieving …

Location-based social networks (LBSN) are social networks complemented with users'
location data, such as geo-tagged activity data. Predicting such activities finds application in …

With the rapid growth of Internet applications, there are more and more entities in interaction
scenarios, and thus collaborative prediction for multi-entity interaction is becoming a …

Network embedding aims at projecting the network data into a low-dimensional feature
space, where the nodes are represented as a unique feature vector and network structure …