Random k-out subgraph leaves only O(n/k) inter-component edges

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Standard

Random k-out subgraph leaves only O(n/k) inter-component edges. / Holm, Jacob; King, Valerie; Thorup, Mikkel; Zamir, Or; Zwick, Uri.

Proceedings - 2019 IEEE 60th Annual Symposium on Foundations of Computer Science, FOCS 2019. IEEE, 2019. 8948658.

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Holm, J, King, V, Thorup, M, Zamir, O & Zwick, U 2019, Random k-out subgraph leaves only O(n/k) inter-component edges. i Proceedings - 2019 IEEE 60th Annual Symposium on Foundations of Computer Science, FOCS 2019., 8948658, IEEE, 60th IEEE Annual Symposium on Foundations of Computer Science, FOCS 2019, Baltimore, USA, 09/11/2019. https://doi.org/10.1109/FOCS.2019.00058

APA

Holm, J., King, V., Thorup, M., Zamir, O., & Zwick, U. (2019). Random k-out subgraph leaves only O(n/k) inter-component edges. I Proceedings - 2019 IEEE 60th Annual Symposium on Foundations of Computer Science, FOCS 2019 [8948658] IEEE. https://doi.org/10.1109/FOCS.2019.00058

Vancouver

Holm J, King V, Thorup M, Zamir O, Zwick U. Random k-out subgraph leaves only O(n/k) inter-component edges. I Proceedings - 2019 IEEE 60th Annual Symposium on Foundations of Computer Science, FOCS 2019. IEEE. 2019. 8948658 https://doi.org/10.1109/FOCS.2019.00058

Author

Holm, Jacob ; King, Valerie ; Thorup, Mikkel ; Zamir, Or ; Zwick, Uri. / Random k-out subgraph leaves only O(n/k) inter-component edges. Proceedings - 2019 IEEE 60th Annual Symposium on Foundations of Computer Science, FOCS 2019. IEEE, 2019.

Bibtex

@inproceedings{a21afe9c1b004963b362ac505d7740db,
title = "Random k-out subgraph leaves only O(n/k) inter-component edges",
abstract = "Each vertex of an arbitrary simple graph on n vertices chooses k random incident edges. What is the expected number of edges in the original graph that connect different connected components of the sampled subgraph? We prove that the answer is O(n/k), when k ≥ c log n, for some large enough c. We conjecture that the same holds for smaller values of k, possibly for any k ≥ 2. Such a result is best possible for any k ≥ 2. As an application, we use this sampling result to obtain a one-way communication protocol with private randomness for finding a spanning forest of a graph in which each vertex sends only O (√n log n) bits to a referee.",
keywords = "communication complexity, Connected components, Random subgraph",
author = "Jacob Holm and Valerie King and Mikkel Thorup and Or Zamir and Uri Zwick",
year = "2019",
doi = "10.1109/FOCS.2019.00058",
language = "English",
booktitle = "Proceedings - 2019 IEEE 60th Annual Symposium on Foundations of Computer Science, FOCS 2019",
publisher = "IEEE",
note = "60th IEEE Annual Symposium on Foundations of Computer Science, FOCS 2019 ; Conference date: 09-11-2019 Through 12-11-2019",

}

RIS

TY - GEN

T1 - Random k-out subgraph leaves only O(n/k) inter-component edges

AU - Holm, Jacob

AU - King, Valerie

AU - Thorup, Mikkel

AU - Zamir, Or

AU - Zwick, Uri

PY - 2019

Y1 - 2019

N2 - Each vertex of an arbitrary simple graph on n vertices chooses k random incident edges. What is the expected number of edges in the original graph that connect different connected components of the sampled subgraph? We prove that the answer is O(n/k), when k ≥ c log n, for some large enough c. We conjecture that the same holds for smaller values of k, possibly for any k ≥ 2. Such a result is best possible for any k ≥ 2. As an application, we use this sampling result to obtain a one-way communication protocol with private randomness for finding a spanning forest of a graph in which each vertex sends only O (√n log n) bits to a referee.

AB - Each vertex of an arbitrary simple graph on n vertices chooses k random incident edges. What is the expected number of edges in the original graph that connect different connected components of the sampled subgraph? We prove that the answer is O(n/k), when k ≥ c log n, for some large enough c. We conjecture that the same holds for smaller values of k, possibly for any k ≥ 2. Such a result is best possible for any k ≥ 2. As an application, we use this sampling result to obtain a one-way communication protocol with private randomness for finding a spanning forest of a graph in which each vertex sends only O (√n log n) bits to a referee.

KW - communication complexity

KW - Connected components

KW - Random subgraph

U2 - 10.1109/FOCS.2019.00058

DO - 10.1109/FOCS.2019.00058

M3 - Article in proceedings

AN - SCOPUS:85078476801

BT - Proceedings - 2019 IEEE 60th Annual Symposium on Foundations of Computer Science, FOCS 2019

PB - IEEE

T2 - 60th IEEE Annual Symposium on Foundations of Computer Science, FOCS 2019

Y2 - 9 November 2019 through 12 November 2019

ER -

ID: 237757204