Exact results and scaling properties of small-world networks
classification
❄️ cond-mat.stat-mech
cond-mat.dis-nn
keywords
distributionfunctionpropertiesresultsanalyticminimalnetworksscaling
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We study the distribution function for minimal paths in small-world networks. Using properties of this distribution function, we derive analytic results which greatly simplify the numerical calculation of the average minimal distance, $\bar{\ell}$, and its variance, $\sigma^2$. We also discuss the scaling properties of the distribution function. Finally, we study the limit of large system sizes and obtain some analytic results.
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