pith. sign in

arxiv: cond-mat/0304693 · v4 · submitted 2003-04-30 · ❄️ cond-mat.dis-nn · cond-mat.stat-mech

Memory effect in growing trees

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

We show that the structure of a growing tree preserves an information on the shape of an initial graph. For the exponential trees, evidence of this kind of memory is provided by means of the iterative equations, derived for the moments of the node-node distance distribution. Numerical calculations confirm the result and allow to extend the conclusion to the Barabasi--Albert scale-free trees. The memory effect almost disappears, if subsequent nodes are connected to the network with more than one link.

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.