pith. sign in

arxiv: cond-mat/0307137 · v1 · submitted 2003-07-07 · ❄️ cond-mat.stat-mech

Scale-free network on a vertical plane

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

A scale-free network is grown in the Euclidean space with a global directional bias. On a vertical plane, nodes are introduced at unit rate at randomly selected points and a node is allowed to be connected only to the subset of nodes which are below it using the attachment probability: $\pi_i(t) \sim k_i(t)\ell^{\alpha}$. Our numerical results indicate that the directed scale-free network for $\alpha=0$ belongs to a different universality class compared to the isotropic scale-free network. For $\alpha < \alpha_c$ the degree distribution is stretched exponential in general which takes a pure exponential form in the limit of $\alpha \to -\infty$. The link length distribution is calculated analytically for all 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.