© 2015 American Physical Society. Coupling dynamics of the states of the nodes of a network to the dynamics of the network topology leads to generic absorbing and fragmentation transitions. The coevolving voter model is a typical system that exhibits such transitions at some critical rewiring. We study the robustness of these transitions under two distinct ways of introducing noise. Noise affecting all the nodes destroys the absorbing-fragmentation transition, giving rise in finite-size systems to two regimes: bimodal magnetization and dynamic fragmentation. Noise targeting a fraction of nodes preserves the transitions but introduces shattered fragmentation with its characteristic fraction of isolated nodes and one or two giant components. ...
We study the noisy voter model using a specific non-linear dependence of the rates that takes into a...
We consider the influence of local noise on a generalized network of populations having po...
7 pages, 4 figures.-- PACS nrs.: 64.60.Cn, 89.75.-k, 87.23.Ge.-- Pre-print version available at ArXi...
We consider a general model in which there is a coupled dynamics of node states and links states in ...
We consider a general model in which there is a coupled dynamics of node states and link states in a...
We study the joint effect of the non-linearity of interactions and noise on coevolutionary dynamics....
We study a coevolving nonlinear voter model describing the coupled evolution of the states of the no...
We study a network model that couples the dynamics of link states with the evolution of the network ...
We present a general framework for the study of coevolution in dynamical systems. This phenomenon co...
We study a nonlinear coevolving voter model with triadic closure local rewiring. We find three phase...
We study a coevolving nonlinear voter model (CNVM) on a two-layer network. Coevolution stands for co...
We study a network model that couples the dynamics of link states with the evolution of the network ...
We study the noisy voter model using a specific non-linear dependence of the rates that takes into a...
5 pages.-- PACS numbers: 89.75.Fb, 05.65.+b, 64.60.Cn.-- Final full-text version of the paper availa...
We present a generic threshold model for the co-evolution of the structure of a network and the stat...
We study the noisy voter model using a specific non-linear dependence of the rates that takes into a...
We consider the influence of local noise on a generalized network of populations having po...
7 pages, 4 figures.-- PACS nrs.: 64.60.Cn, 89.75.-k, 87.23.Ge.-- Pre-print version available at ArXi...
We consider a general model in which there is a coupled dynamics of node states and links states in ...
We consider a general model in which there is a coupled dynamics of node states and link states in a...
We study the joint effect of the non-linearity of interactions and noise on coevolutionary dynamics....
We study a coevolving nonlinear voter model describing the coupled evolution of the states of the no...
We study a network model that couples the dynamics of link states with the evolution of the network ...
We present a general framework for the study of coevolution in dynamical systems. This phenomenon co...
We study a nonlinear coevolving voter model with triadic closure local rewiring. We find three phase...
We study a coevolving nonlinear voter model (CNVM) on a two-layer network. Coevolution stands for co...
We study a network model that couples the dynamics of link states with the evolution of the network ...
We study the noisy voter model using a specific non-linear dependence of the rates that takes into a...
5 pages.-- PACS numbers: 89.75.Fb, 05.65.+b, 64.60.Cn.-- Final full-text version of the paper availa...
We present a generic threshold model for the co-evolution of the structure of a network and the stat...
We study the noisy voter model using a specific non-linear dependence of the rates that takes into a...
We consider the influence of local noise on a generalized network of populations having po...
7 pages, 4 figures.-- PACS nrs.: 64.60.Cn, 89.75.-k, 87.23.Ge.-- Pre-print version available at ArXi...