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.
2019-10-15
97
Ecosystems, Neutral Theory, Complex Systems, Social Networks
Suweis, Samir
Lauree magistrali
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/22072