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We found that models of evolving random networks exhibit dynamic scalingsimilar to scaling of growing surfaces. It is demonstrated by numericalsimulations of two variants of the model in which nodes are added as well asremoved [Phys. Rev. Lett. 83, 5587 (1999)]. The averaged size and connectivityof the network increase as power-laws in early times but later saturate.Saturated values and times of saturation change with paramaters controlling thelocal evolution of the network topology. Both saturated values and times ofsaturation obey also power-law dependences on controlling parameters. Scalingexponents are calculated and universal features are discussed.Comment: 7 pages, 6 figures, Europhysics Letters for

Dynamic scaling and universality in evolution of fluctuating random networks