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Biconnected graph

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In graph theory, a biconnected graph is a connected and "nonseparable" graph, meaning that if any one vertex were to be removed, the graph will remain connected. Therefore a biconnected graph has no articulation vertices.

The property of being 2-connected is equivalent to biconnectivity, except that the complete graph of two vertices is usually not regarded as 2-connected.

This property is especially useful in maintaining a graph with a two-fold redundancy, to prevent disconnection upon the removal of a single edge (or connection).

The use of biconnected graphs is very important in the field of networking (see Network flow), because of this property of redundancy.

Definition

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A biconnected undirected graph is a connected graph that is not broken into disconnected pieces by deleting any single vertex (and its incident edges).

A biconnected directed graph is one such that for any two vertices v and w there are two directed paths from v to w which have no vertices in common other than v and w.

Examples

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Nonseparable (or 2-connected) graphs (or blocks) with n nodes (sequence A002218 in the OEIS)
Vertices Number of Possibilities
1 0
2 1
3 1
4 3
5 10
6 56
7 468
8 7123
9 194066
10 9743542
11 900969091
12 153620333545
13 48432939150704
14 28361824488394169
15 30995890806033380784
16 63501635429109597504951
17 244852079292073376010411280
18 1783160594069429925952824734641
19 24603887051350945867492816663958981

Structure of 2-connected graphs

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Every 2-connected graph can be constructed inductively by adding paths to a cycle (Diestel 2016, p. 59).

See also

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References

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  • Eric W. Weisstein. "Biconnected Graph." From MathWorld—A Wolfram Web Resource. http://mathworld.wolfram.com/BiconnectedGraph.html
  • Paul E. Black, "biconnected graph", in Dictionary of Algorithms and Data Structures [online], Paul E. Black, ed., U.S. National Institute of Standards and Technology. 17 December 2004. (accessed TODAY) Available from: https://xlinux.nist.gov/dads/HTML/biconnectedGraph.html
  • Diestel, Reinhard (2016), Graph Theory (5th ed.), Berlin, New York: Springer-Verlag, ISBN 978-3-662-53621-6.
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