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Efficient Testing of Large Graphs (0)

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by Noga Alon , Eldar Fischer , Michael Krivelevich , Mario Szegedy
Venue:Combinatorica
Citations:174 - 46 self
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@INPROCEEDINGS{Alon_efficienttesting,
    author = {Noga Alon and Eldar Fischer and Michael Krivelevich and Mario Szegedy},
    title = {Efficient Testing of Large Graphs},
    booktitle = {Combinatorica},
    year = {},
    pages = {451--476}
}

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Abstract

Let P be a property of graphs. An -test for P is a randomized algorithm which, given the ability to make queries whether a desired pair of vertices of an input graph G with n vertices are adjacent or not, distinguishes, with high probability, between the case of G satisfying P and the case that it has to be modified by adding and removing more than n 2 edges to make it satisfy P . The property P is called testable, if for every there exists an -test for P whose total number of queries is independent of the size of the input graph. Goldreich, Goldwasser and Ron [8] showed that certain graph properties admit an -test. In this paper we make a first step towards a logical characterization of all testable graph properties, and show that properties describable by a very general type of coloring problem are testable. We use this theorem to prove that first order graph properties not containing a quantifier alternation of type "89" are always testable, while we show that some properties containing this alternation are not. Our results are proven using a combinatorial lemma, a special case of which, that may be of independent interest, is the following. A graph H is called -unavoidable in G if all graphs that differ from G in no more than jGj 2 places contain an induced copy of H . A graph H is called -abundant in G if G contains at least jGj jHj induced copies of H. If H is -unavoidable in G then it is also ( ; jHj)-abundant.

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