New models for multi-class networks

Many complex phenomena can be modeled by networks, that is, by a set of nodes connected by edges. Networks are represented by graphs, and several algebraic and analytical methods have been developed for their study. However, in order to obtain a more useful representation of a system, it is often appropriate to include more information about the nodes and/or edges, and those additions make it necessary to adapt or modify such methods of study.