More is different in real-world multilayer networks
M De Domenico - Nature Physics, 2023 - nature.com
The constituents of many complex systems are characterized by non-trivial connectivity
patterns and dynamical processes that are well captured by network models. However, most …
patterns and dynamical processes that are well captured by network models. However, most …
[HTML][HTML] Nestedness in complex networks: observation, emergence, and implications
MS Mariani, ZM Ren, J Bascompte, CJ Tessone - Physics Reports, 2019 - Elsevier
The observed architecture of ecological and socio-economic networks differssignificantly
from that of random networks. From a network science standpoint, non-random structural …
from that of random networks. From a network science standpoint, non-random structural …
Multilayer networks: aspects, implementations, and application in biomedicine
Modeling and analyses of complex systems using network theory have been an object of
study for a long time. They have caught attention in many disciplines such as sociology …
study for a long time. They have caught attention in many disciplines such as sociology …
The community structure of functional brain networks exhibits scale-specific patterns of inter-and intra-subject variability
The network organization of the human brain varies across individuals, changes with
development and aging, and differs in disease. Discovering the major dimensions along …
development and aging, and differs in disease. Discovering the major dimensions along …
Colloquium: Multiscale modeling of brain network organization
C Presigny, F De Vico Fallani - Reviews of Modern Physics, 2022 - APS
A complete understanding of the brain requires an integrated description of the numerous
scales and levels of neural organization. This means studying the interplay of genes and …
scales and levels of neural organization. This means studying the interplay of genes and …
The atlas for the aspiring network scientist
M Coscia - arXiv preprint arXiv:2101.00863, 2021 - arxiv.org
Network science is the field dedicated to the investigation and analysis of complex systems
via their representations as networks. We normally model such networks as graphs: sets of …
via their representations as networks. We normally model such networks as graphs: sets of …
Network-based brain–computer interfaces: principles and applications
J Gonzalez-Astudillo, T Cattai… - Journal of neural …, 2021 - iopscience.iop.org
Brain–computer interfaces (BCIs) make possible to interact with the external environment by
decoding the mental intention of individuals. BCIs can therefore be used to address basic …
decoding the mental intention of individuals. BCIs can therefore be used to address basic …
Applying multilayer analysis to morphological, structural, and functional brain networks to identify relevant dysfunction patterns
J Casas-Roma, E Martinez-Heras… - Network …, 2022 - direct.mit.edu
In recent years, research on network analysis applied to MRI data has advanced
significantly. However, the majority of the studies are limited to single networks obtained …
significantly. However, the majority of the studies are limited to single networks obtained …
The radically embodied conscious cybernetic Bayesian brain: from free energy to free will and back again
A Safron - Entropy, 2021 - mdpi.com
Drawing from both enactivist and cognitivist perspectives on mind, I propose that explaining
teleological phenomena may require reappraising both “Cartesian theaters” and mental …
teleological phenomena may require reappraising both “Cartesian theaters” and mental …
Feature-enriched core percolation in multiplex networks
Y Shang - Physical Review E, 2022 - APS
Percolation models have long served as a paradigm for unraveling the structure and
resilience of complex systems comprising interconnected nodes. In many real networks …
resilience of complex systems comprising interconnected nodes. In many real networks …