Research project selected under the 2020 call for proposals
Principal Investigator : Dima Shepelyansky
Involved Teams :
- LPT / Quantware group
Type of project : Disruptive Project
Date (start/end) : 2020 – 2023
The project extends and applies the tools and methods of mesoscopic transport, quantum chaos and theory of quantum chaotic scattering to the problems of directed networks. On the scale of the past ten years, modern societies have developed enormous communication and social networks. Their classification and information retrieval becomes a formidable task for the society. We show that the methods of quantum transport allow to construct new efficient ways of directed network analysis like reduced Google matrix (REGOMAX) and linear response theory of Google matrix (LIRGOMAX). The project will develop new tools and apply them to the world trade of UN COMTRADE database, Wikipedia networks, nanoscale protein-protein interaction networks for problems of cancer, networks of internet flows and other directed networks.