We investigate the effect of clusters in complex networks on efficiency dynamics by studying a simple efficiency model in two coupled small-world networks. It is shown that the critical network randomness corresponding to transition from a stagnant phase to a growing one decreases to zero as the connection strength of clusters increases. It is also shown for fixed randomness that the state of clusters transits from a stagnant phase to a growing one as the connection strength of clusters increases. This work can be useful for understanding the critical transition appearing in many dynamic processes on the cluster networks
Small-world networks interpolate between fully regular and fully random topologies and simultaneous...
We present a stochastic dynamics model of coupled evolution for the binary states of nodes and links...
Cascade dynamics on networks are usually analyzed statically to determine existence criteria for cas...
We investigate the effect of clusters in complex networks on efficiency dynamics by studying a simpl...
We evolve topology of a network of N fully-coupled nodes that interact according to repulsion-attrac...
The simple efficiency model is developed on scale-free networks with communities to study the effect...
Coupled map networks evolve from sparsely connected random graphs to small-world networks according ...
Small-world networks interpolate between fully regular and fully random topologies and simultaneousl...
International audienceThe small-world phenomenon first introduced in the context of static graphs co...
Research has explored how embeddedness in small-world networks influences individual and firm outcom...
Studies of network dynamics are typically concerned either with the evolution of network topologies ...
The small-world phenomenon first introduced in the con-text of static graphs consists of graphs with...
Abstract—In cyber physical system (CPS), computational resources and physical resources are strongly...
We analyze critical phenomena on networks generated as the union of hidden variable models (networks...
In cyber physical system (CPS), computational resources and physical resources are strongly correlat...
Small-world networks interpolate between fully regular and fully random topologies and simultaneous...
We present a stochastic dynamics model of coupled evolution for the binary states of nodes and links...
Cascade dynamics on networks are usually analyzed statically to determine existence criteria for cas...
We investigate the effect of clusters in complex networks on efficiency dynamics by studying a simpl...
We evolve topology of a network of N fully-coupled nodes that interact according to repulsion-attrac...
The simple efficiency model is developed on scale-free networks with communities to study the effect...
Coupled map networks evolve from sparsely connected random graphs to small-world networks according ...
Small-world networks interpolate between fully regular and fully random topologies and simultaneousl...
International audienceThe small-world phenomenon first introduced in the context of static graphs co...
Research has explored how embeddedness in small-world networks influences individual and firm outcom...
Studies of network dynamics are typically concerned either with the evolution of network topologies ...
The small-world phenomenon first introduced in the con-text of static graphs consists of graphs with...
Abstract—In cyber physical system (CPS), computational resources and physical resources are strongly...
We analyze critical phenomena on networks generated as the union of hidden variable models (networks...
In cyber physical system (CPS), computational resources and physical resources are strongly correlat...
Small-world networks interpolate between fully regular and fully random topologies and simultaneous...
We present a stochastic dynamics model of coupled evolution for the binary states of nodes and links...
Cascade dynamics on networks are usually analyzed statically to determine existence criteria for cas...