Graph theory (GT) concepts are potentially applicable in the field of computer science (CS)
for many purposes. The unique applications of GT in the CS field such as clustering of web …

Abstract Cyber-Physical-Social systems (CPSSs) are the extension of Cyber-Physical
systems (CPS), which seamlessly integrate cyber space, physical space and social space …

Friendship is the cornerstone to build a social network. In online social networks, statistics
show that the leading reason for user to create a new friendship is due to recommendation …

Many social studies and practical cases suggest that people's consumption behaviors and
social behaviors are not isolated but interrelated. However, most existing research either …

The huge number of modern social network users has made the web a fertile ground for the
growth and development of a plethora of recommender systems. To date, recommending a …

Community mining for complex social networks with link and attribute information plays an
important role according to different application needs. In this paper, based on our proposed …

Recommender systems help users in the discouraging task of selecting through large
quantities of information in order to select relevant information or items. It relies on most …

We present a system called SCHOLAT, which is implemented as a scholar-oriented social
network that aims to form an academic community to let users establish connection with …

Link prediction approaches for simple graphs predict, as we saw in the previous chapter, the
probability of a link between two unconnected nodes based on available information in the …

In photography community, users are often asked and encouraged to give relevant tags
based on the content of the photos when uploading them. These tags are often fine-grained …