Open Access
February 2017 Looking for vertex number one
Alan Frieze, Wesley Pegden
Ann. Appl. Probab. 27(1): 582-630 (February 2017). DOI: 10.1214/16-AAP1212

Abstract

Given an instance of the preferential attachment graph $G_{n}=([n],E_{n})$, we would like to find vertex 1, using only “local” information about the graph; that is, by exploring the neighborhoods of small sets of vertices. Borgs et al. gave an algorithm which runs in time $O(\log^{4}n)$, which is local in the sense that at each step, it needs only to search the neighborhood of a set of vertices of size $O(\log^{4}n)$. We give an algorithm to find vertex 1, which w.h.p. runs in time $O(\omega\log n)$ and which is local in the strongest sense of operating only on neighborhoods of single vertices. Here $\omega=\omega(n)$ is any function that goes to infinity with $n$.

Citation

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Alan Frieze. Wesley Pegden. "Looking for vertex number one." Ann. Appl. Probab. 27 (1) 582 - 630, February 2017. https://doi.org/10.1214/16-AAP1212

Information

Received: 1 August 2014; Revised: 1 January 2016; Published: February 2017
First available in Project Euclid: 6 March 2017

zbMATH: 1381.60027
MathSciNet: MR3619796
Digital Object Identifier: 10.1214/16-AAP1212

Subjects:
Primary: 60C05

Keywords: local search , preferential attachment graph , Random walk

Rights: Copyright © 2017 Institute of Mathematical Statistics

Vol.27 • No. 1 • February 2017
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