Computing strong articulation points and strong bridges in large scale graphs

  • Authors:
  • Donatella Firmani;Giuseppe F. Italiano;Luigi Laura;Alessio Orlandi;Federico Santaroni

  • Affiliations:
  • Dept. of Computer Science and Systems, Sapienza Univ. of Rome, Roma, Italy;Dept. of Computer Science, Systems and Production, Univ. of Rome "Tor Vergata", Roma, Italy;Dept. of Computer Science and Systems, Sapienza Univ. of Rome, Roma, Italy;Dept. of Computer Science, Univ. of Pisa, Pisa, Italy;Dept. of Computer Science, Systems and Production, Univ. of Rome "Tor Vergata", Roma, Italy

  • Venue:
  • SEA'12 Proceedings of the 11th international conference on Experimental Algorithms
  • Year:
  • 2012

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Abstract

Let G=(V,E) be a directed graph. A vertex v∈V (respectively an edge e∈E) is a strong articulation point (respectively a strong bridge) if its removal increases the number of strongly connected components of G. We implement and engineer the linear-time algorithms in [9] for computing all the strong articulation points and all the strong bridges of a directed graph. Our implementations are tested against real-world graphs taken from several application domains, including social networks, communication graphs, web graphs, peer2peer networks and product co-purchase graphs. The algorithms implemented turn out to be very efficient in practice, and are able to run on large scale graphs, i.e., on graphs with ten million vertices and half billion edges. Our experiments on such graphs highlight some properties of strong articulation points, which might be of independent interest.