when quoting this document, please refer to the following
DOI:
URN: urn:nbn:de:0030-drops-53315
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### The Minimum Bisection in the Planted Bisection Model

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### Abstract

In the planted bisection model a random graph G(n,p_+,p_-) with n vertices is created by partitioning the vertices randomly into two classes of equal size (up to plus or minus 1). Any two vertices that belong to the same class are linked by an edge with probability p_+ and any two that belong to different classes with probability (p_-) <(p_+) independently. The planted bisection model has been used extensively to benchmark graph partitioning algorithms. If (p_+)=2(d_+)/n and (p_-)=2(d_-)/n for numbers 0 <= (d_-) <(d_+) that remain fixed as n tends to infinity, then with high probability the "planted" bisection (the one used to construct the graph) will not be a minimum bisection. In this paper we derive an asymptotic formula for the minimum bisection width under the assumption that (d_+)-(d_-) > c * sqrt((d_+)ln(d_+)) for a certain constant c>0.

### BibTeX - Entry

```@InProceedings{cojaoghlan_et_al:LIPIcs:2015:5331,
author =	{Amin Coja-Oghlan and Oliver Cooley and Mihyun Kang and Kathrin Skubch},
title =	{{The Minimum Bisection in the Planted Bisection Model}},
booktitle =	{Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2015)},
pages =	{710--725},
series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN =	{978-3-939897-89-7},
ISSN =	{1868-8969},
year =	{2015},
volume =	{40},
editor =	{Naveen Garg and Klaus Jansen and Anup Rao and Jos{\'e} D. P. Rolim},
publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address =	{Dagstuhl, Germany},
URL =		{http://drops.dagstuhl.de/opus/volltexte/2015/5331},
URN =		{urn:nbn:de:0030-drops-53315},
doi =		{10.4230/LIPIcs.APPROX-RANDOM.2015.710},
annote =	{Keywords: Random graphs, minimum bisection, planted bisection, belief propagation.}
}
```

 Keywords: Random graphs, minimum bisection, planted bisection, belief propagation. Seminar: Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2015) Issue date: 2015 Date of publication: 2015

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