Topological characteristics of links of complex networks influence the dynamical processes executed on networks triggered by links, such as cascading failures triggered by links in power grids and epidemic spread due to link infection. The line graph transforms links in the original graph into nodes. In this paper, we investigate how graph metrics in the original graph are mapped into those for its line graph. In particular, we study the degree distribution and the assortativity of a graph and its line graph. Specifically, we show, both analytically and numerically, the degree distribution of the line graph of an Erdos-Rényi graph follows the same distribution as its original graph. We derive a formula for the assortativity of line graphs a...
AbstractAssortativity quantifies the tendency of nodes being connected to similar nodes in a complex...
Many natural, physical and social networks commonly exhibit power-law degree distributions. In this ...
We investigate exponential families of random graph distributions as a framework for systematic qua...
*Authors contributed equally Due to the recent availability of large complex networks, con-siderable...
Why are some networks degree-degree correlated (assortative), while most of the real-world ones are ...
Abstract. Newman’s measure for (dis)assortativity, the linear degree correlation ρD, is widely studi...
Newman's measure for (dis)assortativity, the linear degree correlationρD, is widely studied although...
For a fixed number N of nodes, the number of links L in the line graph H(N,L) can only appear in con...
In complex networks the degrees of adjacent nodes may often appear dependent -- which presents a mod...
Assortativity was first introduced by Newman and has been extensively studied and applied to many re...
Abstract One of the most influential recent results in network analysis is that many natural network...
Degree correlation is an important topological property common to many real-world networks such as t...
AbstractA power law degree distribution is established for a graph evolution model based on the grap...
*Authors contributed equally Due to the widespread interest in networks as a representa-tion to inve...
We study spreading dynamics of a reaction–diffusion process in a special class of heterogeneous grap...
AbstractAssortativity quantifies the tendency of nodes being connected to similar nodes in a complex...
Many natural, physical and social networks commonly exhibit power-law degree distributions. In this ...
We investigate exponential families of random graph distributions as a framework for systematic qua...
*Authors contributed equally Due to the recent availability of large complex networks, con-siderable...
Why are some networks degree-degree correlated (assortative), while most of the real-world ones are ...
Abstract. Newman’s measure for (dis)assortativity, the linear degree correlation ρD, is widely studi...
Newman's measure for (dis)assortativity, the linear degree correlationρD, is widely studied although...
For a fixed number N of nodes, the number of links L in the line graph H(N,L) can only appear in con...
In complex networks the degrees of adjacent nodes may often appear dependent -- which presents a mod...
Assortativity was first introduced by Newman and has been extensively studied and applied to many re...
Abstract One of the most influential recent results in network analysis is that many natural network...
Degree correlation is an important topological property common to many real-world networks such as t...
AbstractA power law degree distribution is established for a graph evolution model based on the grap...
*Authors contributed equally Due to the widespread interest in networks as a representa-tion to inve...
We study spreading dynamics of a reaction–diffusion process in a special class of heterogeneous grap...
AbstractAssortativity quantifies the tendency of nodes being connected to similar nodes in a complex...
Many natural, physical and social networks commonly exhibit power-law degree distributions. In this ...
We investigate exponential families of random graph distributions as a framework for systematic qua...