International audienceA heterogeneous continuous time random walk is an analytical formalism for studying and modeling diffusion processes in heterogeneous structures on microscopic and macroscopic scales. In this paper we study both analytically and numerically the effects of spatio-temporal heterogeneities onto the diffusive dynamics on different types of networks. We investigate how the distribution of the first passage time is affected by the global topological network properties and heterogeneities in the distributions of the travel times. In particular, we analyze transport properties of random networks and define network measures based on the first-passage characteristics. The heterogeneous continuous time random walk framework has p...
Complex networks are characterized by latent geometries induced by their topology or by the dynamics...
Many network models have been proposed and constructed to mimic the underlying features of complex n...
We study memory-based random walk models to understand diffusive motion in crowded heterogeneous env...
International audienceA heterogeneous continuous time random walk is an analytical formalism for stu...
The random walk process underlies the description of a large number of real-world phenomena. Here we...
Network science investigates the architecture of complex systems to understand their functional and ...
Many natural and artificial networks evolve in time. Nodes and connections appear and disappear at v...
<p>This video shows the diffusion of visitation probabilities of a random walk in a temporal network...
International audienceThe interest in non-Markovian dynamics within the complex systems community ha...
First-passage properties in general, and the mean first-passage time (MFPT) in particular, are widel...
Spreading of epidemic, stochastic resonance, chemical reaction and neuron firing dynamics can be des...
Real-world networks often exhibit complex temporal patterns that affect their dynamics and function....
Virtually all real-world networks are dynamical entities. In social networks, the propensity of node...
In the study of dynamical processes on networks, there has been intense focus on network structure-i...
Complex networks are characterized by latent geometries induced by their topology or by the dynamics...
Many network models have been proposed and constructed to mimic the underlying features of complex n...
We study memory-based random walk models to understand diffusive motion in crowded heterogeneous env...
International audienceA heterogeneous continuous time random walk is an analytical formalism for stu...
The random walk process underlies the description of a large number of real-world phenomena. Here we...
Network science investigates the architecture of complex systems to understand their functional and ...
Many natural and artificial networks evolve in time. Nodes and connections appear and disappear at v...
<p>This video shows the diffusion of visitation probabilities of a random walk in a temporal network...
International audienceThe interest in non-Markovian dynamics within the complex systems community ha...
First-passage properties in general, and the mean first-passage time (MFPT) in particular, are widel...
Spreading of epidemic, stochastic resonance, chemical reaction and neuron firing dynamics can be des...
Real-world networks often exhibit complex temporal patterns that affect their dynamics and function....
Virtually all real-world networks are dynamical entities. In social networks, the propensity of node...
In the study of dynamical processes on networks, there has been intense focus on network structure-i...
Complex networks are characterized by latent geometries induced by their topology or by the dynamics...
Many network models have been proposed and constructed to mimic the underlying features of complex n...
We study memory-based random walk models to understand diffusive motion in crowded heterogeneous env...