Title
Attack Resistance Of Power-Law Random Graphs In The Finite-Mean, Infinite-Variance Region
Abstract
We consider a conditionally Poisson random-graph model in which the mean degrees, "capacities," follow a power-tail distribution with finite mean and infinite variance. Such a graph of size N has a giant component that is supersmall in the sense that the typical distance between vertices is of order log logN. The shortest paths travel through a core consisting of nodes with high mean degrees. In this paper we derive upper bounds for the distance between two random vertices when an upper part of the core is removed, including the case that the whole core is removed.
Year
DOI
Venue
2008
10.1080/15427951.2008.10129162
INTERNET MATHEMATICS
Keywords
Field
DocType
power law,shortest path,random graph,upper bound,giant component
Graph center,Random regular graph,Discrete mathematics,Combinatorics,Path (graph theory),Random graph,Graph power,Distance,Giant component,Mathematics,Path graph
Journal
Volume
Issue
ISSN
5
3
1542-7951
Citations 
PageRank 
References 
1
0.38
0
Authors
2
Name
Order
Citations
PageRank
Ilkka Norros161386.52
H. Reittu2467.16