Shows two types of bifurcations observed in the networked Ising model. Simulations were performed on random networks of 1000 nodes with homogeneous degree sequence (4, …, 4). The solid and dashed lines indicate the mean transition curve of 1000 runs for which a critical parameter was iteratively increased or decreased to induce the transition. Solid lines mark stable states, dotted lines mark unstable states, and dashed lines mark the critical transition on which we define the tipping point HT. The figure on the left depicts a pitchfork bifurcation with respect to changes in the critical parameter T and the figure on the right depicts a bifurcation showing the phenomenon of hysteresis with respect to changes in the critical parameter H wher...
<p>(A) Schematic diagram for attractor landscapes and state transitions of dynamical systems. Each r...
<p>(A) Bifurcation diagram with and with the variation of . Here, the asymptotical dynamics of the ...
The central question of systems biology is to understand how individual components of a biological s...
Figure on the left shows a smooth state transition along a pitchfork bifurcation where the system is...
Simulation data of critical transitions obtained by running a networked implementation of the Ising ...
We consider coevolution of site state and network structures from different initial substr...
<p>(A) Binary 128×128 lattices showing the configuration of spins after 2,000 timesteps at low tempe...
An elementary Ising spin model is proposed for demonstrating cascading failures (breakdowns, blackou...
An elementary Ising spin model is proposed for demonstrating cascading failures (breakdowns, blackou...
This article offers a detailed analysis of the Ising model in 2D small-world networks with competing...
26 pages, 13 figuresInternational audienceWe study the geometric properties of a system initially in...
The antiferromagnetic Ising model in uncorrelated scale-free networks has been studied by means of M...
The Ising model in clustered scale-free networks has been studied by Monte Carlo simulations. These ...
<p>a: Transfer Entropy versus the inverse temperature for the Ising model implemented on the 66-nod...
The bifurcations in a four-variable ODE model of an SIS type epidemic on an adaptive network are st...
<p>(A) Schematic diagram for attractor landscapes and state transitions of dynamical systems. Each r...
<p>(A) Bifurcation diagram with and with the variation of . Here, the asymptotical dynamics of the ...
The central question of systems biology is to understand how individual components of a biological s...
Figure on the left shows a smooth state transition along a pitchfork bifurcation where the system is...
Simulation data of critical transitions obtained by running a networked implementation of the Ising ...
We consider coevolution of site state and network structures from different initial substr...
<p>(A) Binary 128×128 lattices showing the configuration of spins after 2,000 timesteps at low tempe...
An elementary Ising spin model is proposed for demonstrating cascading failures (breakdowns, blackou...
An elementary Ising spin model is proposed for demonstrating cascading failures (breakdowns, blackou...
This article offers a detailed analysis of the Ising model in 2D small-world networks with competing...
26 pages, 13 figuresInternational audienceWe study the geometric properties of a system initially in...
The antiferromagnetic Ising model in uncorrelated scale-free networks has been studied by means of M...
The Ising model in clustered scale-free networks has been studied by Monte Carlo simulations. These ...
<p>a: Transfer Entropy versus the inverse temperature for the Ising model implemented on the 66-nod...
The bifurcations in a four-variable ODE model of an SIS type epidemic on an adaptive network are st...
<p>(A) Schematic diagram for attractor landscapes and state transitions of dynamical systems. Each r...
<p>(A) Bifurcation diagram with and with the variation of . Here, the asymptotical dynamics of the ...
The central question of systems biology is to understand how individual components of a biological s...