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Optical phase transitions in photonic networks: a spin-system formulation
(American Physical Society, 2020-07)
We investigate the collective dynamics of nonlinearly interacting modes in multimode photonic settings. To this end, we have established a connection with the theory of spin networks. The emerging "photonic spins"are ...
Triple point in correlated interdependent networks
(American Physical Society, 2013-11)
Many real-world networks depend on other networks, often in nontrivial ways, to maintain their functionality. These interdependent “networks of networks” are often extremely fragile. When a fraction 1 − p of nodes in one ...
A predictive coexpression network identifies novel genes controlling the seed-to-seedling phase transition in arabidopsis Thaliana
(American Society of Plant Biologist, 2016-04)
The transition from a quiescent dry seed to an actively growing photoautotrophic seedling is a complex and crucial trait for plant propagation. This study provides a detailed description of global gene expression in seven ...
Phase transitions in tumor growth VI: Epithelial–Mesenchymal transition
(Elsevier Science, 2018-06)
Herewith we discuss a network model of the epithelial–mesenchymal transition (EMT) based on our previous proposed framework. The EMT appears as a “first order” phase transition process, analogous to the transitions observed ...
Interacting opinion and disease dynamics in multiplex networks: Discontinuous phase transition and nonmonotonic consensus times
(American Physical Society, 2017-05)
Opinion formation and disease spreading are among the most studied dynamical processes on complex networks. In real societies, it is expected that these two processes depend on and affect each other. However, little is ...
Scaling of percolation transitions on Erdös-Rényi networks under centrality-based attacks
(American Physical Society, 2020-01-21)
The study of network robustness focuses on the way the overall functionality of a network is affected as some of its constituent parts fail. Failures can occur at random or be part of an intentional attack and, in general, ...
Contrasting chaotic with stochastic dynamics via ordinal transition networksContrasting chaotic with stochastic dynamics via ordinal transition networks
(American Institute of PhysicsAmerican Institute of Physics, 2020-06-01)
We introduce a representation space to contrast chaotic with stochastic dynamics. Following the complex network representation of a time series through ordinal pattern transitions, we propose to assign each system a position ...
Transition to synchronization in heterogeneous inhibitory neural networks with structured synapses
(American Institute of Physics, 2021-03)
Inhibitory neurons form an extensive network involved in the development of different rhythms in the cerebral cortex. A transition from an incoherent state, where all inhibitory neurons fire unrelated to each other, to a ...