The social networking scene has evolved tremendously over the years. It has grown in
relational complexities that extend a vast presence onto popular social media platforms on …

Event-based social networks (EBSNs) are widely used to create online social groups and
organize offline events for users. Activeness and loyalty are crucial characteristics of these …

Link stability detection has been an important and long-standing problem within the link
prediction domain. However, it has often been overlooked as being trivial and has not been …

Real-world complex networks usually contain vertices with different structural and functional
properties. Usually vertices with similar properties form dense substructures, often known as …

Multiplex graphs have been recently proposed as a model to represent high-level
complexity in real-world networks such as heterogeneous social networks where actors …

The state of relationships between actors ion the internet is constantly changing and
fluctuating to a social system of constant shocks. Link prediction, community detection …

Constant communities, ie, groups of vertices that are always clustered together, independent
of the community detection algorithm used, are necessary for reducing the inherent …

As social behavior plays an essential role in people's lives, the features of face-to-face
interaction networks must be examined to understand people's social behavior. In this study …

The Internet today is a platform of information exchange between real people across the
globe. Event prediction is an emerging and highly complex topic of interest which enjoys …

The inherent temporal dynamics of social connections affect network structure, inducing
evolution of new communities and degeneration of existing ones. The understanding of …