About

Many complex systems can be naturally seen as big networks with a great number of interconnected nodes. For example, in living systems, proteins interact amongst each other through chemical reactions; in brain, electrical impulses are exchanged amongst neurons; in social networks, members are related by acquaintances; in world trade, countries export/import products to/from other countries, ...

We will analyse such real complex networks using the associated Google matrices which allow to characterize and to rank efficiently massive quantities of information embedded in these networks.