265 citations · 282 across the 11 of their papers we have counts for
9 papers
Symbolic Higher-Order Analysis of Multivariate Time Series
Andrea Civilini, Fabrizio de Vico Fallani, Vito Latora
Identifying patterns of relations among the units of a complex system from measurements of their activities in time is a fundamental problem with many practical applications. Here,…
Community Detection from Multiple Observations: from Product Graph Model to Brain Applications
Tiziana Cattai, Gaetano Scarano, Marie-Constance Corsi +2
This paper proposes a multilayer graph model for the community detection from multiple observations. This is a very frequent situation, when different estimators are applied to inf…
Low-dimensional controllability of brain networks
Remy Ben Messaoud, Vincent Le Du, Brigitte Charlotte Kaufmann +5
Network controllability is a powerful tool to study causal relationships in complex systems and identify the driver nodes for steering the network dynamics into desired states. How…
The exploration-exploitation paradigm for networked biological systems
Vito Dichio, Fabrizio De Vico Fallani
The stochastic exploration of the configuration space and the exploitation of functional states underlie many biological processes. The evolutionary dynamics stands out as a remark…
Node-layer duality in networked systems
Charley Presigny, Marie-Constance Corsi, Fabrizio De Vico Fallani
Real-world networks typically exhibit several aspects, or layers, of interactions among their nodes. By permuting the role of the nodes and the layers, we establish a new criterion…
Vizaj -- An interactive javascript tool for visualizing spatial networks
Thibault Rolland, Fabrizio De Vico Fallani
In many fields of science and technology we are confronted with complex networks. Making sense of these networks often require the ability to visualize and explore their intermingl…
Step-wise target controllability identifies dysregulated pathways of macrophage networks in multiple sclerosis
Giulia Bassignana, Jennifer Fransson, Vincent Henry +3
Identifying the nodes that have the potential to influence the state of a network is a relevant question for many complex systems. In many applications it is often essential to tes…
Role of inter-hemispheric connections in functional brain networks
J. H. Martínez, J. M. Buldú, D. Papo +2
Today the human brain can be modeled as a graph where nodes represent different regions and links stand for statistical interactions between their activities as recorded by differe…
Human brain distinctiveness based on EEG spectral coherence connectivity
Daria La Rocca, Patrizio Campisi, Balazs Vegso +4
The use of EEG biometrics, for the purpose of automatic people recognition, has received increasing attention in the recent years. Most of current analysis rely on the extraction o…