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The mean and variance of the distribution of shortest path lengths of random regular graphs

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Ido Tishby, Ofer Biham, Reimer Kühn, Eytan Katzav

Original languageEnglish
Article number265005
JournalJournal of Physics A: Mathematical and Theoretical
Volume55
Issue number26
DOIs
Published1 Jul 2022

Bibliographical note

Funding Information: The authors wish to thank one of the anonymous referees for insightful comments and analysis that helped to clarify the nature of the oscillations of the mean and variance of the DSPL. This work was supported by the Israel Science Foundation Grant No. 1682/18. Publisher Copyright: © 2022 The Author(s).

King's Authors

Abstract

The distribution of shortest path lengths (DSPL) of random networks provides useful information on their large scale structure. In the special case of random regular graphs (RRGs), which consist of N nodes of degree c 3/4 3, the DSPL, denoted by P(L = "), follows a discrete Gompertz distribution. Using the discrete Laplace transform we derive a closed-form (CF) expression for the moment generating function of the DSPL of RRGs. From the moment generating function we obtain CF expressions for the mean and variance of the DSPL. More specifically, we find that the mean distance between pairs of distinct nodes is given by lnNln(c-1)+12-lnc-ln(c-2)+3ln(c-1)+OlnNN, where 3 is the Euler-Mascheroni constant. While the leading term is known, this result includes a novel correction term, which yields very good agreement with the results obtained from direct numerical evaluation of via the tail-sum formula and with the results obtained from computer simulations. However, it does not account for an oscillatory behavior of as a function of c or N. These oscillations are negligible in sparse networks but detectable in dense networks. We also derive an expression for the variance Var(L) of the DSPL, which captures the overall dependence of the variance on c but does not account for the oscillations. The oscillations are due to the discrete nature of the shell structure around a random node. They reflect the profile of the filling of new shells as N is increased. The results for the mean and variance are compared to the corresponding results obtained in other types of random networks. The relation between the mean distance and the diameter is discussed.

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