在随机图中找到一个隐藏的大集团

N. Alon, M. Krivelevich, B. Sudakov
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引用次数: 422

摘要

我们考虑有n个标记顶点的图的以下概率模型。首先选择一个随机图Gn,1 r 2,然后随机选择大小为k的顶点的子集Q,并通过将Q的每个顶点对通过一条边连接来强制它成为一个团。问题是给出一个多项式时间算法,几乎可以确定地找到这个隐藏的团对于不同的k值。这个问题是由Jerrum和kuucera以不同的变体独立提出的。在本文中,我们提出了一种有效的算法,适用于所有k) cn 0.5,适用于loc0.5。0.5任意固定的c) 0,从而改进了平凡的情况k) cn log n。该算法基于图的谱特性。John Wiley & Sons, Inc.;随机结构。Alg。[中文],13,457)466,1998
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Finding a large hidden clique in a random graph
We consider the following probabilistic model of a graph on n labeled vertices. . First choose a random graph Gn ,1 r 2 ,and then choose randomly a subset Q of vertices of size k and force it to be a clique by joining every pair of vertices of Q by an edge. The problem is to give a polynomial time algorithm for finding this hidden clique almost surely for various values of k. This question was posed independently, in various variants, by Jerrum and by Kucera. In this paper we present an efficient algorithm for all k ) cn 0.5 , for ˇ 0.5 . 0.5 any fixed c ) 0, thus improving the trivial case k ) cn log n . The algorithm is based on the spectral properties of the graph. Q 1998 John Wiley & Sons, Inc. Random Struct. Alg., 13, 457)466, 1998
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