Adversarial Deletion in a Scale-Free Random Graph Process

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 deg...

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Bibliographic Details
Published inCombinatorics, probability & computing Vol. 16; no. 2; pp. 261 - 270
Main Authors FLAXMAN, ABRAHAM D., FRIEZE, ALAN M., VERA, JUAN
Format Journal Article
LanguageEnglish
Published Cambridge, UK Cambridge University Press 01.03.2007
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Summary: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.
Bibliography:Supported by NSF Grant CCR-0200945.
istex:203E8599D1090D0E39C4BE28187CC4709143FD26
PII:S0963548306007681
ark:/67375/6GQ-CX80VK3D-Q
ArticleID:00768
ISSN:0963-5483
1469-2163
DOI:10.1017/S0963548306007681