<p>We compare the means of these properties over 10 different realizations of first and second generation networks. Error bars denote standard deviation across realizations. In-strength is unitary for every node when the first and second generation networks are regular () and, as the networks become increasingly random (left to right), the in-strength distribution broadens due to the redistribution of the weights. Note that the out-strength of a node is unitary in all cases, since the weights are Markovian probabilities. Arc weights are unitary for every arc when the first and second generation networks are regular (). As increases, the arc weight distribution of the first and second generation networks shows presence of small weights () a...
We study the statistical properties of optimal paths in weighted complex networks with general distr...
We study a problem of data packet transport between a pair of vertices on scale-free network, and in...
Abstract—As the Internet becomes a social infrastructure, a network design method that has adaptabil...
<p>Right column shows illustrations of prototypical networks: the (ring) lattice small-world, the cl...
<p>Box plots of the distributions of persistences (panel ), births (panel ) and lengths (panel ) ...
<p>Random, small-world and scale-free networks containing 20 nodes and 73 connections were generated...
<p>(<b>A</b>) Number of self-loops. (<b>B</b>) Number of two-node feedbacks. (<b>C</b>) Number of th...
<p>The degree of the central node in both (a) and (b) is 4 and the strength is 12, but the distribut...
<p>Mean path length, clustering coefficient and conservative small-worldness; averages (<i>n</i> = 5...
<p>Results for random graph models are averaged over 20 realizations. For the directed (undirected) ...
In this article, we explicitly derive the limiting distribution of the degree distribution of the sh...
<p>(a) The degree distribution specifies how likely it is for a person to have a particular number o...
We study a number of properties of a simple random growing directed network which can be used to mo...
<p> Panels A and B show two important network parameters for five different network sizes over the n...
Barabasi-Albert networks are constructed by adding nodes via preferential attachment to an initial c...
We study the statistical properties of optimal paths in weighted complex networks with general distr...
We study a problem of data packet transport between a pair of vertices on scale-free network, and in...
Abstract—As the Internet becomes a social infrastructure, a network design method that has adaptabil...
<p>Right column shows illustrations of prototypical networks: the (ring) lattice small-world, the cl...
<p>Box plots of the distributions of persistences (panel ), births (panel ) and lengths (panel ) ...
<p>Random, small-world and scale-free networks containing 20 nodes and 73 connections were generated...
<p>(<b>A</b>) Number of self-loops. (<b>B</b>) Number of two-node feedbacks. (<b>C</b>) Number of th...
<p>The degree of the central node in both (a) and (b) is 4 and the strength is 12, but the distribut...
<p>Mean path length, clustering coefficient and conservative small-worldness; averages (<i>n</i> = 5...
<p>Results for random graph models are averaged over 20 realizations. For the directed (undirected) ...
In this article, we explicitly derive the limiting distribution of the degree distribution of the sh...
<p>(a) The degree distribution specifies how likely it is for a person to have a particular number o...
We study a number of properties of a simple random growing directed network which can be used to mo...
<p> Panels A and B show two important network parameters for five different network sizes over the n...
Barabasi-Albert networks are constructed by adding nodes via preferential attachment to an initial c...
We study the statistical properties of optimal paths in weighted complex networks with general distr...
We study a problem of data packet transport between a pair of vertices on scale-free network, and in...
Abstract—As the Internet becomes a social infrastructure, a network design method that has adaptabil...