We study the long-time asymptotics of a network of weakly reinforced Pólya urns. In this system, which extends the WARM introduced by R. van der Hofstad et. al. (2016) to countable networks, the nodes fire at times given by a Poisson point process. When a node fires, one of the incident edges is selected with a probability proportional to its weight raised to a power α < 1, and then this weight is increased by 1. We show that for α < 1/2 on a network of bounded degrees, every edge is reinforced a positive proportion of time, and that the limiting proportion can be interpreted as an equilibrium in a countable network. Moreover, in the special case of regular graphs, this homogenization remains valid beyond the threshold α = 1/2.</p
We introduce a class of reinforcement models where, at each time step t, one ¿rst chooses a random s...
The theme in this paper is a composition of random graphs and P\'olya urns. The random graphs are ge...
We analyze weighted networks as randomly reinforced urn processes, in which the edge-total weights a...
We study the long-time asymptotics of a network of weakly reinforced Pólya urns. In this system, whi...
We study the long-time asymptotics of a network of weakly reinforced Pólya urns. In this system, whi...
We study the long-time asymptotics of a network of weakly reinforced Pólya urns. In this system, whi...
We study the long-time asymptotics of a network of weakly reinforced Pólya urns. In this system, whi...
We study the long-time asymptotics of a network of weakly reinforced Pólya urns. In this system, whi...
We introduce a class of reinforcement models where, at each time step t, one first chooses a random ...
We introduce a class of reinforcement models where, at each time step t, one first chooses a random ...
We introduce a class of reinforcement models where, at each time step t, one first chooses a random ...
We introduce a class of reinforcement models where, at each time step t, one first chooses a random ...
We study a class of reinforcement models involving a Poisson process on the vertices of certain infi...
We study a class of reinforcement models involving a Poisson process on the vertices of certain infi...
We study a class of reinforcement models involving a Poisson process on the vertices of certain infi...
We introduce a class of reinforcement models where, at each time step t, one ¿rst chooses a random s...
The theme in this paper is a composition of random graphs and P\'olya urns. The random graphs are ge...
We analyze weighted networks as randomly reinforced urn processes, in which the edge-total weights a...
We study the long-time asymptotics of a network of weakly reinforced Pólya urns. In this system, whi...
We study the long-time asymptotics of a network of weakly reinforced Pólya urns. In this system, whi...
We study the long-time asymptotics of a network of weakly reinforced Pólya urns. In this system, whi...
We study the long-time asymptotics of a network of weakly reinforced Pólya urns. In this system, whi...
We study the long-time asymptotics of a network of weakly reinforced Pólya urns. In this system, whi...
We introduce a class of reinforcement models where, at each time step t, one first chooses a random ...
We introduce a class of reinforcement models where, at each time step t, one first chooses a random ...
We introduce a class of reinforcement models where, at each time step t, one first chooses a random ...
We introduce a class of reinforcement models where, at each time step t, one first chooses a random ...
We study a class of reinforcement models involving a Poisson process on the vertices of certain infi...
We study a class of reinforcement models involving a Poisson process on the vertices of certain infi...
We study a class of reinforcement models involving a Poisson process on the vertices of certain infi...
We introduce a class of reinforcement models where, at each time step t, one ¿rst chooses a random s...
The theme in this paper is a composition of random graphs and P\'olya urns. The random graphs are ge...
We analyze weighted networks as randomly reinforced urn processes, in which the edge-total weights a...