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The Most Reliable Subgraph Problem

机译:最可靠的子图问题

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摘要

We introduce the problem of finding the most reliable subgraph: given a probabilistic graph G subject to random edge failures, a set of terminal vertices, and an integer K, find a subgraph H is contained in G having K fewer edges than G, such that the probability of connecting the terminals in H is maximized. The solution has applications in link analysis and visualization. We begin by formally defining the problem in a general form, after which we focus on a two-terminal, undirected case. Although the problem is most likely computationally intractable, we give a polynomial-time algorithm for a special case where G is series-parallel. For the general case, we propose a computationally efficient greedy heuristic. Our experiments on simulated graphs illustrate the usefulness of the concept of most reliable subgraph, and suggest that the heuristic for the general case is quite competitive.
机译:我们介绍了寻找最可靠的子图的问题:给定一个概率图G遭受随机边缘故障,一组终端顶点和一个整数K,找到一个子图H包含在G中,其边数比G少K,从而在H中连接端子的概率最大。该解决方案可用于链接分析和可视化。我们首先以一般形式正式定义问题,然后重点讨论两终端,无方向的案例。尽管问题很可能在计算上难以解决,但针对G呈串并联的特殊情况,我们给出了多项式时间算法。对于一般情况,我们提出了一种计算有效的贪婪启发式算法。我们在模拟图上进行的实验说明了最可靠的子图概念的有用性,并表明一般情况下的启发式方法很有竞争力。

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