One of the most well-established tools for modeling the brain is the functional connectivity
network, which is constructed from pairs of interacting brain regions. While powerful, the …

High-order interactions are required across brain regions to accomplish specific cognitive
functions. These functional interdependencies are reflected by synergistic information that …

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 …

Psychological network approaches propose to see symptoms or questionnaire items as
interconnected nodes, with links between them reflecting pairwise statistical dependencies …

The study of high order dependencies in complex systems has recently led to the
introduction of statistical synergy, a novel quantity corresponding to a form of emergence in …

Psychological network approaches propose to see symptoms or questionnaire items as
interconnected nodes, with links between them reflecting pairwise statistical dependencies …

The partial information decomposition (PID) and its extension integrated information
decomposition ($\Phi $ ID) are promising frameworks to investigate information phenomena …

Theoretical and computational frameworks of complexity science are dominated by binary
structures. This binary bias, seen in the ubiquity of pair-wise networks and formal binary …

Recent research has provided a wealth of evidence highlighting the pivotal role of high-
order interdependencies in supporting the information-processing capabilities of distributed …

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