Networks proved recently to be very efficient in the description and modelling of complex systems. Networks not only describe the microscopic mechanism of interaction of computer, people, ecological species, they are also a powerful tool for information filtering. This would be very much needed in the future, since according to a report from IBM Marketing Cloud [10 Key Marketing Trends For 2017, IBM 2016], 90% of the data in the world today has been created in the last two years alone, at a rate of 2.5 quintillion bytes of data a day. These data represent the new oil of the future economy; indeed the capacity of profiling uses, habits and needs of the population will give disproportionate power to the owners of the information deducible from them.

To add on that, also a partial knowledge of data is enough to provide information to the persons interested. Thanks to the theoretical advancements in the recent years (mostly from this research group) we have extended the capacity of analysis and forecasting on incomplete data by using entropy-based techniques. In this way, we can model various phenomena with optimal predicting power with a small error and uncertainty given by the size of the sample analysed.

  • debtrank application to liquidity shocks
  • reconstruction of exposures with methods from statistical physics
  • chain of production from input/output matrices
  • growth and metabolism of cities
  • analysis of functional network dynamics;
  • analysis of structural covariance networks;
  • analysis of cerebrovascular networks;
  • networks tractometry;
Each topic can be studied on healty subjects as well as on subjects affected with diseases (as neurological diseases - fronto-temporal dementia, Alzheimer's Disease, Parkinson disease - and psychiatric diseases - obsessive-compulsive disorder, schizophrenia, major depression, bipolar mood disorder).

  • Study of allometric relations in the case of leaves
  • Network of volatile organic compounds
  • Mapping the chemical space


  • propagation of disinformation
  • maps of multilevel media propagation
  • modelling of misinformation
  • reconstruction of social contacts


  • optimisation of water networks
  • growth and stability of cities