Distributed discovery of large near-cliques

  • Authors:
  • Zvika Brakerski;Boaz Patt-Shamir

  • Affiliations:
  • Weizmann Institute of Science, Rehovot, Israel;Tel-Aviv University, Tel-Aviv, Israel

  • Venue:
  • Proceedings of the 28th ACM symposium on Principles of distributed computing
  • Year:
  • 2009

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Abstract

Given an undirected graph and 0 ≤ ε ≤ 1, a set of nodes is called ε-near clique if all but an ε fraction of the pairs of nodes in the set have a link between them. In this paper we present a fast synchronous network algorithm that uses small messages and finds a near-clique. Specifically, we present a constant-time algorithm that finds, with constant probability of success, a linear size ε-near clique if there exists an ε3-near clique of linear size in the graph. The algorithm uses messages of O(log n) bits. The failure probability can be reduced to n−Ω(1) in O(log n) time, and the algorithm also works if the graph contains a clique of size Ω(n/logα log n) for some α ∈ (0,1). Our approach is based on a new idea of adapting property testing algorithms to the distributed setting.