We study the interplay of topology and dynamics of excitable nodes on random networks. Comparison is made between systems grown by purely random (Erdős–Rényi) rules and those grown by the Achlioptas process. For a given size, the growth mechanism affects both the thresholds for the emergence of different structural features as well as the level of dynamical activity supported on the network
Topological cycles in excitable networks can play an important role in maintaining the network activ...
Topological cycles in excitable networks can play an important role in maintaining the network activ...
The interplay between topology and dynamics in complex networks is a fundamental but widely unexplor...
Rhythmic activity in complex systems is generated and sustained through interactions among the const...
International audienceSimple models of excitable dynamics on graphs are an efficient framework for s...
International audienceSimple models of excitable dynamics on graphs are an efficient framework for s...
International audienceSimple models of excitable dynamics on graphs are an efficient framework for s...
International audienceSimple models of excitable dynamics on graphs are an efficient framework for s...
We study the evolution of a random weighted network with complex nonlinear dynamics at each node, wh...
We study the effect of network structure on the dynamical response of networks of coupled discrete-s...
"We investigate how changes of specific topological features result on transitions among different b...
Previous efforts in complex networks research focused mainly on the topological features of such net...
The interplay between topology and dynamics in complex networks is a fundamental but widely unexplor...
This is the final version. Available from the publisher via the DOI in this record.Neuronal network ...
Many natural and artificial networks evolve in time. Nodes and connections appear and disappear at v...
Topological cycles in excitable networks can play an important role in maintaining the network activ...
Topological cycles in excitable networks can play an important role in maintaining the network activ...
The interplay between topology and dynamics in complex networks is a fundamental but widely unexplor...
Rhythmic activity in complex systems is generated and sustained through interactions among the const...
International audienceSimple models of excitable dynamics on graphs are an efficient framework for s...
International audienceSimple models of excitable dynamics on graphs are an efficient framework for s...
International audienceSimple models of excitable dynamics on graphs are an efficient framework for s...
International audienceSimple models of excitable dynamics on graphs are an efficient framework for s...
We study the evolution of a random weighted network with complex nonlinear dynamics at each node, wh...
We study the effect of network structure on the dynamical response of networks of coupled discrete-s...
"We investigate how changes of specific topological features result on transitions among different b...
Previous efforts in complex networks research focused mainly on the topological features of such net...
The interplay between topology and dynamics in complex networks is a fundamental but widely unexplor...
This is the final version. Available from the publisher via the DOI in this record.Neuronal network ...
Many natural and artificial networks evolve in time. Nodes and connections appear and disappear at v...
Topological cycles in excitable networks can play an important role in maintaining the network activ...
Topological cycles in excitable networks can play an important role in maintaining the network activ...
The interplay between topology and dynamics in complex networks is a fundamental but widely unexplor...