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arXiv 1504.03294cs.DS
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图的簇结构检验

Testing Cluster Structure of Graphs

Artur Czumaj, Pan Peng, Christian Sohler

摘要:

在有界度模型的性质测试框架下,研究了图的簇结构识别问题。给定一个参数$\varepsilon$,一个$d$有界度图被定义为$(k, ϕ)$可聚类的,如果它可以被划分为不超过$k$部分,使得每个部分上的导出子图的(内)电导至少为$ϕ$,每个部分的(外)电导至多为$c_{d,k}\varepsilon^4ϕ^2$,其中$c_{d,k}$仅依赖于$d,k$ .我们的主要结果是一个次线性算法的运行时间$\widetilde{O}(\sqrt{n}\cdot\mathrm{poly}(ϕ,k,1/\varepsilon))$,作为输入的图形与最大程度的$d$,参数$k$,$ϕ$,$\varepsilon$,并与概率至少$\frac23$,接受的图形,如果它是$(k,ϕ)$ -clusterable和拒绝的图形,如果它是$\varepsilon$ -远离$(k, ϕ^*)$ -clusterable为$ϕ^* = c'_{d,k}\frac{ϕ^2 \varepsilon^4}{\log n}$,其中$c'_{d,k}$只依赖于$d,k$。通过测试图扩展所需查询数的$Ω(\sqrt{n})$下界,对应于我们问题中的$k=1$,我们的算法在多对数因子下是渐近最优的。

英文摘要:

We study the problem of recognizing the cluster structure of a graph in the framework of property testing in the bounded degree model. Given a parameter $\varepsilon$, a $d$-bounded degree graph is defined to be $(k, ϕ)$-clusterable, if it can be partitioned into no more than $k$ parts, such that the (inner) conductance of the induced subgraph on each part is at least $ϕ$ and the (outer) conductance of each part is at most $c_{d,k}\varepsilon^4ϕ^2$, where $c_{d,k}$ depends only on $d,k$. Our main result is a sublinear algorithm with the running time $\widetilde{O}(\sqrt{n}\cdot\mathrm{poly}(ϕ,k,1/\varepsilon))$ that takes as input a graph with maximum degree bounded by $d$, parameters $k$, $ϕ$, $\varepsilon$, and with probability at least $\frac23$, accepts the graph if it is $(k,ϕ)$-clusterable and rejects the graph if it is $\varepsilon$-far from $(k, ϕ^*)$-clusterable for $ϕ^* = c'_{d,k}\frac{ϕ^2 \varepsilon^4}{\log n}$, where $c'_{d,k}$ depends only on $d,k$. By the lower bound of $Ω(\sqrt{n})$ on the number of queries needed for testing graph expansion, which corresponds to $k=1$ in our problem, our algorithm is asymptotically optimal up to polylogarithmic factors.

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