We investigate by random-walk simulations and a mean-field theory how growth by biased addition of nodes affects flow of the current through the emergent conducting graph, representing a digital circuit. In the interior of a large network the voltage varies with the addition time s<t of the node as $V(s)\sim \ln (s)/s^\theta$ when constant current enters the network at last added node t and leaves at the root of the graph which is grounded. The topological closeness of the conduction path and shortest path through a node suggests that the charged random walk determines these global graph properties by using only local search algorithms. The results agree with mean-field theory on tree structures, while the numerical method is applic...
We study transport properties such as electrical and frictionless flow conductance on scale-free and...
The authors study the bulk conductivity of a random network of diodes and insulators as a function o...
The presence of hierarchy in many real-world networks is not yet fully understood. We observe that c...
A distributed system or network can be modeled as a graph representing the "who knows who" relations...
Disclaimer: These notes have not been subjected to the usual scrutiny reserved for formal publicatio...
Consider a rooted infinite Galton-Watson tree with mean offspring number $m>1$, and a collection of ...
To study transport properties of complex networks, we analyze the equivalent conductance G between t...
Abstract: An electrical power grid is a critical infrastructure. Its reliable, robust, and efficient...
A conditionally Poissonian power-law random graph with infinite degree variance is considered as a r...
We study the current flow paths between two edges in a random resistor network on a Ltimes L square ...
We study transport properties such as conductance and diffusion of complex networks such as scale-fr...
Electrical networks provide a natural model to study transport processes such us dielectric breakdow...
The proper addition of shortcuts to a regular substrate can lead to the formation of a complex netwo...
We study a number of properties of a simple random growing directed network which can be used to mo...
AbstractWe show that random graphs in the preferential connectivity model have constant conductance,...
We study transport properties such as electrical and frictionless flow conductance on scale-free and...
The authors study the bulk conductivity of a random network of diodes and insulators as a function o...
The presence of hierarchy in many real-world networks is not yet fully understood. We observe that c...
A distributed system or network can be modeled as a graph representing the "who knows who" relations...
Disclaimer: These notes have not been subjected to the usual scrutiny reserved for formal publicatio...
Consider a rooted infinite Galton-Watson tree with mean offspring number $m>1$, and a collection of ...
To study transport properties of complex networks, we analyze the equivalent conductance G between t...
Abstract: An electrical power grid is a critical infrastructure. Its reliable, robust, and efficient...
A conditionally Poissonian power-law random graph with infinite degree variance is considered as a r...
We study the current flow paths between two edges in a random resistor network on a Ltimes L square ...
We study transport properties such as conductance and diffusion of complex networks such as scale-fr...
Electrical networks provide a natural model to study transport processes such us dielectric breakdow...
The proper addition of shortcuts to a regular substrate can lead to the formation of a complex netwo...
We study a number of properties of a simple random growing directed network which can be used to mo...
AbstractWe show that random graphs in the preferential connectivity model have constant conductance,...
We study transport properties such as electrical and frictionless flow conductance on scale-free and...
The authors study the bulk conductivity of a random network of diodes and insulators as a function o...
The presence of hierarchy in many real-world networks is not yet fully understood. We observe that c...