134 citations · 306 across the 23 of their papers we have counts for
7 papers · 1 filter
From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms
Yuri Antonacci, Chiara Barà, Laura Sparacino +3
High-order interactions are increasingly recognized as a hallmark of collective dynamics in complex systems. The relationship between high-order behaviours (HOBs), observed as syne…
Decomposing Multivariate Information Rates in Networks of Random Processes
Laura Sparacino, Gorana Mijatovic, Yuri Antonacci +4
The Partial Information Decomposition (PID) framework has emerged as a powerful tool for analyzing high-order interdependencies in complex network systems. However, its application…
Partial Information Rate Decomposition
Luca Faes, Laura Sparacino, Gorana Mijatovic +4
Partial Information Decomposition (PID) is a principled and flexible method to unveil complex high-order interactions in multi-unit network systems. Though being defined exclusivel…
Network Representation of Higher-Order Interactions Based on Information Dynamics
Gorana Mijatovic, Yuri Antonacci, Michal Javorka +3
Many complex systems in science and engineering are modeled as networks whose nodes and links depict the temporal evolution of each system unit and the dynamic interaction between…
Assessing High-Order Links in Cardiovascular and Respiratory Networks via Static and Dynamic Information Measures
Gorana Mijatovic, Laura Sparacino, Yuri Antonacci +4
The network representation is becoming increasingly popular for the description of cardiovascular interactions based on the analysis of multiple simultaneously collected variables.…
An information-theoretic approach to hypergraph psychometrics
Daniele Marinazzo, Jan Van Roozendaal, Fernando E. Rosas +5
Psychological network approaches propose to see symptoms or questionnaire items as interconnected nodes, with links between them reflecting pairwise statistical dependencies evalua…