Far-out Vertices In Weighted Repeated Configuration Model
Probability
2012-09-14 v1 Networking and Internet Architecture
Abstract
We consider an edge-weighted uniform random graph with a given degree sequence (Repeated Configuration Model) which is a useful approximation for many real-world networks. It has been observed that the vertices which are separated from the rest of the graph by a distance exceeding certain threshold play an important role in determining some global properties of the graph like diameter, flooding time etc., in spite of being statistically rare. We give a convergence result for the distribution of the number of such far-out vertices. We also make a conjecture about how this relates to the longest edge of the minimal spanning tree on the graph under consideration.
Cite
@article{arxiv.1209.2881,
title = {Far-out Vertices In Weighted Repeated Configuration Model},
author = {Bartlomiej Blaszczyszyn and Kumar Gaurav},
journal= {arXiv preprint arXiv:1209.2881},
year = {2012}
}