Abstract
Over the last years, several real-world data have been modeled as graphs. Consequently, both the number of graphs and also their sizes have been increasing. Nowadays, it is possible to find very big graphs (millions of vertices). In this context, the development of efficient computational methods to analyze big graphs and the training of personnel able to use these computational tools bec…