activity
20202026
most citedQuantifying high-order interdependencies on individual patterns via the local O-information: theory and applications to music analysis

26 citations · 44 across the 6 of their papers we have counts for

collaborators

6 papers

physics.soc-ph2026

Systemic collapse emergence from climate-induced perturbations in transportation networks

Mauro Faccin, Tomas Scagliarini, Manlio De Domenico

The interaction between human infrastructures and external events results in loss of functionality or even complete system disruption through a snowball effect of cascading-failure…

q-fin.TR2022★ 1 cited

Pairwise and high-order dependencies in the cryptocurrency trading network

Tomas Scagliarini, Giuseppe Pappalardo, Alessio Emanuele Biondo +3

In this paper we analyse the effects of information flows in cryptocurrency markets. We first define a cryptocurrency trading network, i.e. the network made using cryptocurrencies…

cs.IT2022★ 1 cited

Gradients of O-information: low-order descriptors of high-order dependencies

Tomas Scagliarini, Davide Nuzzi, Yuri Antonacci +4

O-information is an information-theoretic metric that captures the overall balance between redundant and synergistic information shared by groups of three or more variables. To com…

physics.data-an2021★ 26 cited

Quantifying high-order interdependencies on individual patterns via the local O-information: theory and applications to music analysis

Tomas Scagliarini, Daniele Marinazzo, Yike Guo +2

High-order, beyond-pairwise interdependencies are at the core of biological, economic, and social complex systems, and their adequate analysis is paramount to understand, engineer,…

q-bio.QM2020★ 16 cited

Local Granger Causality

Sebastiano Stramaglia, Tomas Scagliarini, Yuri Antonacci +1

Granger causality is a statistical notion of causal influence based on prediction via vector autoregression. For Gaussian variables it is equivalent to transfer entropy, an informa…

q-bio.NC2020

Quantifying dynamical high-order interdependencies from the O-information: an application to neural spiking dynamics

Sebastiano Stramaglia, Tomas Scagliarini, Bryan C. Daniels +1

We address the problem of efficiently and informatively quantifying how multiplets of variables carry information about the future of the dynamical system they belong to. In partic…