NODE-NODE DISTANCE DISTRIBUTION FOR GROWING NETWORKS

KRZYSZTOF MALARZ; JUSTYNA KARPIŃSKA; ALEKSANDER KARDAS; KRZYSZTOF KUŁAKOWSKI

TASK Quarterly (Jan 2004)

NODE-NODE DISTANCE DISTRIBUTION FOR GROWING NETWORKS

KRZYSZTOF MALARZ,
JUSTYNA KARPIŃSKA,
ALEKSANDER KARDAS,
KRZYSZTOF KUŁAKOWSKI

Affiliations

KRZYSZTOF MALARZ: Faculty of Physics and Nuclear Techniques, AGH University of Science and Technology, al. Mickiewicza 30, PL-30059 Cracow, Poland
JUSTYNA KARPIŃSKA: Faculty of Physics and Nuclear Techniques, AGH University of Science and Technology, al. Mickiewicza 30, PL-30059 Cracow, Poland
ALEKSANDER KARDAS: Faculty of Physics and Nuclear Techniques, AGH University of Science and Technology, al. Mickiewicza 30, PL-30059 Cracow, Poland
KRZYSZTOF KUŁAKOWSKI: Faculty of Physics and Nuclear Techniques, AGH University of Science and Technology, al. Mickiewicza 30, PL-30059 Cracow, Poland

Journal volume & issue: Vol. 8, no. 1

Abstract

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We present a simulation of the time evolution of the distance matrix. The result is a node-node distance distribution for various kinds of networks. For the exponential trees, analytical formulas are derived for the moments of distance distribution.

Published in TASK Quarterly

ISSN: 1428-6394 (Print)
Publisher: Gdańsk University of Technology
Country of publisher: Poland
LCC subjects: Technology: Technology (General): Industrial engineering. Management engineering: Information technology
Website: https://journal.mostwiedzy.pl/TASKQuarterly/index

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