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Mean Distance


The mean distance of a (connected) graph is used with two closely related normalizations. The first averages all entries of the graph distance matrix, including the diagonal entries d(v,v)=0; Garijo et al. (2023) denote this normalization by mu_d(G) and note that it is the arithmetic mean of the entries of the distance matrix. The second, used for example by Doyle and Graver (1977) and described by Garijo et al. (2023) as the "most usual" convention, averages the nonzero distances over unordered pairs of distinct vertices.

The convention used here and by the GraphData property "MeanDistance" is the all-distance-matrix-entry normalization. For a graph on n vertices with graph transmission T(G) and Wiener index W(G), it is given by

d^_=(2T(G))/(n^2)
(1)
Image=(2W(G))/(n^2).
(2)

Closed forms for some classes of named graphs under the all-distance-matrix-entry convention are given in the following table.

Under the distinct-vertex-pair convention, the mean distance is instead

mu(G)=1/((n; 2))sum_({u,v} subset= V(G))d(u,v)
(3)
Image=n/(n-1)d^_
(4)
Image=(2W(G))/(n(n-1))
(5)

for connected graphs with n>1.


See also

Connected Graph, Graph Distance, Graph Distance Matrix, Graph Transmission, Transmission-Minimal Regular Graph, Vertex Transmission, Wiener Index

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References

Doyle, J. K. and Graver, J. E. "Mean Distance in a Graph." Disc. Math. 17, 147-154, 1977.Garijo, D.; Márquez, A.; and Silveira, R. I. "Continuous Mean Distance of a Weighted Graph." Results Math. 78, 139, 2023. https://doi.org/10.1007/s00025-023-01902-w.

Referenced on Wolfram|Alpha

Mean Distance

Cite this as:

Weisstein, Eric W. "Mean Distance." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/MeanDistance.html

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