Combinatorics, Probability and Computing

Paper

Adversarial Deletion in a Scale-Free Random Graph Process

ABRAHAM D. FLAXMANa1, ALAN M. FRIEZEa1 and JUAN VERAa1

a1 Department of Mathematical Sciences, Carnegie Mellon University Pittsburgh, PA 15213-3890, USA (e-mail abie@cmu.edu, alan@random.math.cmu.edu, jvera@andrew.cmu.edu)

Abstract

We study a dynamically evolving random graph which adds vertices and edges using preferential attachment and is ‘attacked by an adversary’. At time t, we add a new vertex xt and m random edges incident with xt, where m is constant. The neighbours of xt are chosen with probability proportional to degree. After adding the edges, the adversary is allowed to delete vertices. The only constraint on the adversarial deletions is that the total number of vertices deleted by time n must be no larger than δn, where δ is a constant. We show that if δ is sufficiently small and m is sufficiently large then with high probability at time n the generated graph has a component of size at least n/30.

(Received September 23 2004)

(Revised August 19 2005)

Footnotes

† Supported by NSF Grant CCR-0200945.