{"title":"Finding and certifying a large hidden clique in a semirandom graph","authors":"U. Feige, Robert Krauthgamer","doi":"10.1002/(SICI)1098-2418(200003)16:2%3C195::AID-RSA5%3E3.0.CO;2-A","DOIUrl":null,"url":null,"abstract":"Alon, Krivelevich, and Sudakov [Random Struct Algorithms 13(3–4) (1998), 457–466.] designed an algorithm based on spectral techniques that almost surely finds a clique of size hidden in an otherwise random graph. We show that a different algorithm, based on the Lovasz theta function, almost surely both finds the hidden clique and certifies its optimality. Our algorithm has an additional advantage of being more robust: it also works in a semirandom hidden clique model, in which an adversary can remove edges from the random portion of the graph. ©2000 John Wiley & Sons, Inc. Random Struct. Alg., 16, 195–208, 2000","PeriodicalId":303496,"journal":{"name":"Random Struct. Algorithms","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"214","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Random Struct. Algorithms","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/(SICI)1098-2418(200003)16:2%3C195::AID-RSA5%3E3.0.CO;2-A","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 214
在半随机图中寻找和证明一个大的隐藏团
Alon, Krivelevich, and Sudakov[随机结构算法13(3-4)(1998),457-466]。]设计了一种基于谱技术的算法,几乎可以肯定地找到隐藏在随机图中的大小集团。我们展示了一种基于Lovasz theta函数的不同算法,几乎可以肯定地找到隐藏集团并证明其最优性。我们的算法还有一个更健壮的优势:它也适用于半随机隐藏的派系模型,在这种模型中,对手可以从图的随机部分删除边。©2000 John Wiley & Sons, Inc随机结构。Alg。, 16, 195 - 208,2000
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