pith. sign in

arxiv: cond-mat/0203216 · v2 · submitted 2002-03-10 · ❄️ cond-mat.stat-mech · cond-mat.soft

Modulated Scale-free Network in the Euclidean Space

classification ❄️ cond-mat.stat-mech cond-mat.soft
keywords alphanetworkvaluesdegreedeltadistributioneuclideanlength
0
0 comments X
read the original abstract

A random network is grown by introducing at unit rate randomly selected nodes on the Euclidean space. A node is randomly connected to its $i$-th predecessor of degree $k_i$ with a directed link of length $\ell$ using a probability proportional to $k_i \ell^{\alpha}$. Our numerical study indicates that the network is Scale-free for all values of $\alpha > \alpha_c $ and the degree distribution decays stretched exponentially for the other values of $\alpha$. The link length distribution follows a power law: $D(\ell) \sim \ell^{\delta}$ where $\delta$ is calculated exactly for the whole range of values of $\alpha$.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.