Advanced topics in network science

Credits: 
1
Hours: 
12
Area: 
Big Data Mining
Academic Year: 
2022-2023
2021-2022
2020-2021
2019-2020
2018-2019
Description: 

In this course we start from the basic notions of graph theory and self-similar phenomena in order to correctly analyse large socio-economic networks. From this analysis we then proceed in the description of the modelling for various classes of phenomena and to the correct definition of benchmarks through an approach inspired by classical statistical physics.

 

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