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More is different in real-world multilayer networks
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 …
Multilayer networks in a nutshell
Complex systems are characterized by many interacting units that give rise to emergent
behavior. A particularly advantageous way to study these systems is through the analysis of …
behavior. A particularly advantageous way to study these systems is through the analysis of …
[ספר][B] Multilayer network science: from cells to societies
O Artime, B Benigni, G Bertagnolli, V d'Andrea… - 2022 - cambridge.org
Networks are convenient mathematical models to represent the structure of complex
systems, from cells to societies. In the last decade, multilayer network science–the branch of …
systems, from cells to societies. In the last decade, multilayer network science–the branch of …
Turing patterns mediated by network topology in homogeneous active systems
Mechanisms of pattern formation—of which the Turing instability is an archetype—constitute
an important class of dynamical processes occurring in biological, ecological, and chemical …
an important class of dynamical processes occurring in biological, ecological, and chemical …
An evaluation tool for backbone extraction techniques in weighted complex networks
Networks are essential for analyzing complex systems. However, their growing size
necessitates backbone extraction techniques aimed at reducing their size while retaining …
necessitates backbone extraction techniques aimed at reducing their size while retaining …
Birth and stabilization of phase clusters by multiplexing of adaptive networks
We propose a concept to generate and stabilize diverse partial synchronization patterns
(phase clusters) in adaptive networks which are widespread in neuroscience and social …
(phase clusters) in adaptive networks which are widespread in neuroscience and social …
Interplay between solitary states and chimeras in multiplex neural networks
We study numerically the spatiotemporal dynamics and synchronization of a heterogeneous
two-layer multiplex network where each layer is represented by a ring of nonlocally coupled …
two-layer multiplex network where each layer is represented by a ring of nonlocally coupled …
Aging in binary-state models: The Threshold model for complex contagion
We study the non-Markovian effects associated with aging for binary-state dynamics in
complex networks. Aging is considered as the property of the agents to be less prone to …
complex networks. Aging is considered as the property of the agents to be less prone to …
The multiplex decomposition: An analytic framework for multilayer dynamical networks
Multiplex networks are networks composed of multiple layers such that the number of nodes
in all layers is the same and the adjacency matrices between the layers are diagonal. We …
in all layers is the same and the adjacency matrices between the layers are diagonal. We …
Explosive transitions induced by interdependent contagion-consensus dynamics in multiplex networks
We introduce a model to study the interplay between information spreading and opinion
formation in social systems. Our framework consists in a two-layer multiplex network where …
formation in social systems. Our framework consists in a two-layer multiplex network where …