Social network analysis (SNA) is a core pursuit of analyzing social networks today. In
addition to the usual statistical techniques of data analysis, these networks are investigated …

The link prediction task has found numerous applications in real-world scenarios. However,
in most of the cases like interactions, purchases, mobility, etc., links can re-occur again and …

Abstract Social Network Analysis has become a core aspect of analyzing networks today. As
statistics blended with computer science gave rise to data mining in machine learning, so is …

Modeling users' preferences and needs is one of the most important personalization tasks in
information retrieval domain. User preferences are fairly dynamic, since users tend to exploit …

Extracting knowledge from network data is a complex task. It requires the use of appropriate
tools and techniques, especially in scenarios that take into account the volume and evolving …