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Property Testing in Sparse Directed Graphs: Strong Connectivity and Subgraph-Freeness

机译:稀疏有向图的属性测试:强大的连通性和子图自由度

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We study property testing in directed graphs in the bounded degree model, where we assume that an algorithm may only query the outgoing edges of a vertex, a model proposed by Bender and Ron [4]. As our first main result, we we present the first property testing algorithm for strong connectivity in this model, having a query complexity of O(n~(1-∈/(3+α)) for arbitrary α > 0; it is based on a reduction to estimating the vertex indegree distribution. For subgraph-freeness we give a property testing algorithm with a query complexity of O(n~(1-1/k)), where k is the number of connected componentes in the queried subgraph which have no incoming edge. We furthermore take a look at the problem of testing whether a weakly connected graph contains vertices with a degree of least 3, which can be viewed as testing for freeness of all orientations of 3-stars; as our second main result, we show that this property can be tested with a query complexity of O(n~(1/2)) instead of, what would be expected, Ω(n~(2/3)).
机译:我们在有界度模型中的有向图中研究属性测试,其中我们假设一种算法只能查询顶点的输出边缘,这是Bender和Ron提出的模型[4]。作为我们的第一个主要结果,我们提出了该模型中用于强连通性的第一个属性测试算法,对于任意α> 0,其查询复杂度为O(n〜(1-∈/(3 +α));对于子图自由度,我们给出了一种属性测试算法,其查询复杂度为O(n〜(1-1 / k)),其中k是查询的子图中连接的组件数我们进一步看一下测试弱连接图是否包含度数至少为3的顶点的问题,这可以看作是测试3星所有方向的自由度的问题;这是我们的第二个主要结论。结果表明,可以使用查询复杂度O(n〜(1/2))而不是预期的Ω(n〜(2/3))来测试此属性。

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