Add to ORKGWe introduce a model for directed scale-free graphs that grow with preferential attachment depending in a natural way on the in- and out-degrees. We show that the resulting in- and out-degree distributions are power laws with different exponents, reproducing observed properties of the world-wide web. We also derive exponents for the distribution of in- (out-) degrees among vertices with fixed out- (in-) degree. We conclude by suggesting a corresponding model with hidden variables
We show that not only preferential attachment but also preferential depletion leads to scale-free ne...
Many studies have considered the preferential attachment mechanism to cause scale-free networks. On ...
Abstract—The degree distribution of scale-free Small World networks follows a power law. For random ...
We introduce a model for directed scale-free graphs that grow with preferential attachment depending...
Abstract We introduce a model for directed scale-free graphs that grow with preferential attachment ...
A random graph evolution mechanism is defined. The evolution studied is a combination of the prefere...
In this paper, we present a simple model of scale-free networks that incorporates both preferential ...
Abstract. The combination of growth and preferential attachment is responsible for the power-law dis...
We show how scale-free degree distributions can emerge naturally from growing networks by using rand...
Abstract. We show that not only preferential attachment but also preferential depletion leads to sca...
<div><p>Scale-free networks, in which the distribution of the degrees obeys a power-law, are ubiquit...
We obtain closed form expressions for the expected conditional degree distribution and the joint deg...
We develop a combinatorial structure to serve as model of random real world networks. Starting with ...
We develop a combinatorial structure to serve as model of random real world networks. Starting with ...
In a 2-parameter scale free model of random graphs it is shown that the asymptotic degree distributi...
We show that not only preferential attachment but also preferential depletion leads to scale-free ne...
Many studies have considered the preferential attachment mechanism to cause scale-free networks. On ...
Abstract—The degree distribution of scale-free Small World networks follows a power law. For random ...
We introduce a model for directed scale-free graphs that grow with preferential attachment depending...
Abstract We introduce a model for directed scale-free graphs that grow with preferential attachment ...
A random graph evolution mechanism is defined. The evolution studied is a combination of the prefere...
In this paper, we present a simple model of scale-free networks that incorporates both preferential ...
Abstract. The combination of growth and preferential attachment is responsible for the power-law dis...
We show how scale-free degree distributions can emerge naturally from growing networks by using rand...
Abstract. We show that not only preferential attachment but also preferential depletion leads to sca...
<div><p>Scale-free networks, in which the distribution of the degrees obeys a power-law, are ubiquit...
We obtain closed form expressions for the expected conditional degree distribution and the joint deg...
We develop a combinatorial structure to serve as model of random real world networks. Starting with ...
We develop a combinatorial structure to serve as model of random real world networks. Starting with ...
In a 2-parameter scale free model of random graphs it is shown that the asymptotic degree distributi...
We show that not only preferential attachment but also preferential depletion leads to scale-free ne...
Many studies have considered the preferential attachment mechanism to cause scale-free networks. On ...
Abstract—The degree distribution of scale-free Small World networks follows a power law. For random ...