Maritime transports play a critical role in international trade and commerce. Massive vessels
sailing around the world continuously generate vessel trajectory data that contain rich …

Network science is the field dedicated to the investigation and analysis of complex systems
via their representations as networks. We normally model such networks as graphs: sets of …

The research on massive open online courses (MOOCs) data analytics has mushroomed
recently because of the rapid development of MOOCs. The MOOC data not only contains …

We present PerformanceVis, a visual analytics tool for analyzing student admission and
course performance data and investigating homework and exam question design. Targeting …

As more and more college classrooms utilize online platforms to facilitate teaching and
learning activities, analyzing student online behaviors becomes increasingly important for …

Community smells are negative patterns in software development teams' interactions that
impede their ability to successfully create software. Examples are team members working in …

Network visualisation techniques are important tools for the exploratory analysis of complex
systems. While these methods are regularly applied to visualise data on complex networks …

The study describes an approach to e-learning based on the Moodle platform that is used to
visualize participation in the learning community and is proposed to be used to inform …

ABSTRACT A major branch of anomaly detection methods rely on dynamic networks: raw
sequential data is first converted to a series of networks, then critical change points are …

Event detection is one of the most important areas of complex network research. It aims to
identify abnormal points in time corresponding to social events. Traditional methods of event …