Approximate discovery of random graphs

  • Authors:
  • Thomas Erlebach;Alexander Hall;Matúš Mihal'ák

  • Affiliations:
  • Department of Computer Science, University of Leicester, Leicester, UK;Department EECS, UC Berkeley, CA;Institute for TCS, ETH Zurich, Zurich, Switzerland

  • Venue:
  • SAGA'07 Proceedings of the 4th international conference on Stochastic Algorithms: foundations and applications
  • Year:
  • 2007

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Abstract

In the layered-graph query model of network discovery, a query at a node v of an undirected graph G discovers all edges and non-edges whose endpoints have different distance from v. We study the number of queries at randomly selected nodes that are needed for approximate network discovery in Erdos-Rényi random graphs Gn,p. We show that a constant number of queries is sufficient if p is a constant, while Ω(nα) queries are needed if p = nε/n, for arbitrarily small choices of ε = 3/(6 ċ i + 5) with i ∈ N. Note that α 0 is a constant depending only on ε. Our proof of the latter result yields also a somewhat surprising result on pairwise distances in random graphs which may be of independent interest: We show that for a random graph Gn,p with p = nε/n, for arbitrarily small choices of ε 0 as above, in any constant cardinality subset of the nodes the pairwise distances are all identical with high probability.