We consider the unbiased random walk on the Sierpinski network (Sn◦N) and the half Sierpinski network (HSn◦N), where n is the generation. Different from the existing works on the Sierpinski gasket, Sn◦N is generated by the nested method and HSn◦N is half of Sn◦N based on the vertical cutting of the symmetry axis. We study the hitting time on Sn◦N and HSn◦N. According to the complete symmetry and structural properties of Sn◦N, we derive the exact expressions of the hitting time on the nth generation of Sn◦N and HSn◦N. The curves of the hitting time for the two networks are almost consistent when n is large enough. The result indicates that the diffusion efficiency of HSn◦N has not changed greatly compared with Sn◦N at a large scale
International audienceA heterogeneous continuous time random walk is an analytical formalism for stu...
First-passage properties in general, and the mean first-passage time (MFPT) in particular, are widel...
Many natural and artificial networks evolve in time. Nodes and connections appear and disappear at v...
Fractal dimension is central to understanding dynamical processes occurring on networks; h...
We study the mean traversal time tau for a class of random walks on Newman-Watts small-world network...
We study an unbiased random walk on dual Sierpinski gaskets embedded in d-dimensional Euclidean spac...
Spreading of epidemic, stochastic resonance, chemical reaction and neuron firing dynamics can be des...
Based on the Koch network constructed using Koch fractals, we proposed a class of expanded...
This thesis studies the cover time of random walks on finite connected graphs. Work contains the der...
AbstractNon-Gaussian upper and lower bounds are obtained for the transition probabilities of the sim...
We study numerically the mean access times for random walks on hybrid disordered structures formed b...
The global first passage time density of a network is the probability that a random walker released ...
The random walk process underlies the description of a large number of real-world phenomena. Here we...
In this work we consider a simple random walk embedded in a generic branched structure and we find a...
Many network models have been proposed and constructed to mimic the underlying features of complex n...
International audienceA heterogeneous continuous time random walk is an analytical formalism for stu...
First-passage properties in general, and the mean first-passage time (MFPT) in particular, are widel...
Many natural and artificial networks evolve in time. Nodes and connections appear and disappear at v...
Fractal dimension is central to understanding dynamical processes occurring on networks; h...
We study the mean traversal time tau for a class of random walks on Newman-Watts small-world network...
We study an unbiased random walk on dual Sierpinski gaskets embedded in d-dimensional Euclidean spac...
Spreading of epidemic, stochastic resonance, chemical reaction and neuron firing dynamics can be des...
Based on the Koch network constructed using Koch fractals, we proposed a class of expanded...
This thesis studies the cover time of random walks on finite connected graphs. Work contains the der...
AbstractNon-Gaussian upper and lower bounds are obtained for the transition probabilities of the sim...
We study numerically the mean access times for random walks on hybrid disordered structures formed b...
The global first passage time density of a network is the probability that a random walker released ...
The random walk process underlies the description of a large number of real-world phenomena. Here we...
In this work we consider a simple random walk embedded in a generic branched structure and we find a...
Many network models have been proposed and constructed to mimic the underlying features of complex n...
International audienceA heterogeneous continuous time random walk is an analytical formalism for stu...
First-passage properties in general, and the mean first-passage time (MFPT) in particular, are widel...
Many natural and artificial networks evolve in time. Nodes and connections appear and disappear at v...