In this work, we have combined analytical, numerical and data-driven tools provided by statistical physics in order to study online social networks. Specifically, our approach is strongly based on that carried out in ecology, finding an interesting parallelism between these two realms.
Analysis and modelling of information ecosystems
Pigani, Emanuele
2019/2020
Abstract
In this work, we have combined analytical, numerical and data-driven tools provided by statistical physics in order to study online social networks. Specifically, our approach is strongly based on that carried out in ecology, finding an interesting parallelism between these two realms.File in questo prodotto:
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.12608/22072