We study individual agents with identical linear dynamics interconnected in a network, and in particular the lifetime of the transient behaviour, before the asymptotically dominant behaviour is reached. In application and main contribution, we give explicit expressions for the mixing time of non-Poissonian random walkers on a network, and show that it is typically either determined by the network topology alone, or by the waiting time distribution alone
Abstract We consider a stable open queuing network as a steady non-equilibrium system of interacting...
Abstract We study diffusion on a multiplex network where the contact dynamics between the nodes is g...
The mixing time of a random walk, with or without backtracking, on a random graph generated accordin...
Network science investigates the architecture of complex systems to understand their functional and ...
The traditional way of studying temporal networks is to aggregate the dynamics of the edges to creat...
Many dynamical processes on real world networks display complex temporal patterns as, for instance,...
We consider random walks on dynamical networks where edges appear and disappear during finite time i...
The interest in non-Markovian dynamics within the complex systems community has recently blossomed, ...
In the study of dynamical processes on networks, there has been intense focus on network structure-i...
We study the distribution of traffic in networks whose users try to min-imise their delays by adheri...
The random walk process underlies the description of a large number of real-world phenomena. Here we...
Real-world networks often exhibit complex temporal patterns that affect their dynamics and function....
14 pages, 13 figuresMany natural and artificial networks evolve in time. Nodes and connections appea...
The recent availability of large-scale, time-resolved and high quality digital datasets has allowed ...
We consider the problem of diffusion on temporal networks, where the dynamics of each edge is modell...
Abstract We consider a stable open queuing network as a steady non-equilibrium system of interacting...
Abstract We study diffusion on a multiplex network where the contact dynamics between the nodes is g...
The mixing time of a random walk, with or without backtracking, on a random graph generated accordin...
Network science investigates the architecture of complex systems to understand their functional and ...
The traditional way of studying temporal networks is to aggregate the dynamics of the edges to creat...
Many dynamical processes on real world networks display complex temporal patterns as, for instance,...
We consider random walks on dynamical networks where edges appear and disappear during finite time i...
The interest in non-Markovian dynamics within the complex systems community has recently blossomed, ...
In the study of dynamical processes on networks, there has been intense focus on network structure-i...
We study the distribution of traffic in networks whose users try to min-imise their delays by adheri...
The random walk process underlies the description of a large number of real-world phenomena. Here we...
Real-world networks often exhibit complex temporal patterns that affect their dynamics and function....
14 pages, 13 figuresMany natural and artificial networks evolve in time. Nodes and connections appea...
The recent availability of large-scale, time-resolved and high quality digital datasets has allowed ...
We consider the problem of diffusion on temporal networks, where the dynamics of each edge is modell...
Abstract We consider a stable open queuing network as a steady non-equilibrium system of interacting...
Abstract We study diffusion on a multiplex network where the contact dynamics between the nodes is g...
The mixing time of a random walk, with or without backtracking, on a random graph generated accordin...