On Trade-Offs in External-Memory Diameter-Approximation

  • Authors:
  • Ulrich Meyer

  • Affiliations:
  • Institute for Computer Science, J.W. Goethe University, Frankfurt/Main, Germany 60325

  • Venue:
  • SWAT '08 Proceedings of the 11th Scandinavian workshop on Algorithm Theory
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

Computing diameters of huge graphs is a key challenge in complex network analysis. However, since exact diameter computation is computationally too costly, one typically relies on approximations. In fact, already a single BFS run rooted at an arbitrary vertex yields a factor two approximation. Unfortunately, in external-memory, even a simple graph traversal like BFS may cause an unacceptable amount of I/O-operations. Therefore, we investigate alternative approaches with worst-case guarantees on both I/O-complexity and approximation factor.