pith. sign in

arxiv: 0905.1470 · v1 · submitted 2009-05-10 · ❄️ cond-mat.stat-mech · cond-mat.dis-nn

Structural phase transition in evolving networks

classification ❄️ cond-mat.stat-mech cond-mat.dis-nn
keywords phasedynamicsmodelstructuralcharacterizeddegreediffusingedge
0
0 comments X
read the original abstract

A network as a substrate for dynamic processes may have its own dynamics. We propose a model for networks which evolve together with diffusing particles through a coupled dynamics, and investigate emerging structural property. The model consists of an undirected weighted network of fixed mean degree and randomly diffusing particles of fixed density. The weight $w$ of an edge increases by the amount of traffics through its connecting nodes or decreases by a constant factor. Edges are removed with the probability $P_{rew.}=1/(1+w)$ and replaced by new ones having $w=0$ at random locations. We find that the model exhibits a structural phase transition between the homogeneous phase characterized by an exponentially decaying degree distribution and the heterogeneous phase characterized by the presence of hubs. The hubs emerge as a consequence of a positive feedback between the particle and the edge dynamics.

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.