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Date: 19.11.2019
In this fourth lecture, I will describe how networks can be used for data analysis, and will in particular introduce two classes of networks (functional networks and parenclitic networks) which have recently found application in various fields of science.
Stefano Boccaletti is a senior researcher in the Institute of Complex Systems in Florence. He is a specialist in statistical and nonlinear physics, nonlinear optics and complex systems sciences with applications to biology, medicine, social sciences and other areas. He contributed several influential papers studying the synchronization effect in complex networks, including the now standard way of their classification. His monograph "Complex Networks: Structure and Dynamics" is among the highest ever cited publications in the field of complex networks and applications.
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