RUS  ENG
Full version
JOURNALS // Dal'nevostochnyi Matematicheskii Zhurnal // Archive

Dal'nevost. Mat. Zh., 2014 Volume 14, Number 1, Pages 100–108 (Mi dvmg277)

Convergence to limit distributions in models of growing random networks

G. Sh. Tsitsiashvilia, M. A. Osipovab

a Institute of Applied Mathematics, Far-Eastern Branch of the Russian Academy of Sciences, Vladivostok
b Far Eastern Federal University, Vladivostok

Abstract: Asymptotics of differences between limit and prelimit node degree distributions in models of growing random networks are constructed. The rates of convergence, up to logarithmic factors, have power estimates.

Key words: growing random networks, asymptotic of rate of convergence, limit distributions.

UDC: 519.175.4

MSC: 05Ñ80

Received: 17.10.2012



© Steklov Math. Inst. of RAS, 2024