On a growth model for complex networks capable of producing power-law out-degree distributions with wide range exponents

Autor:	Ulises Pineda-Rico, Jesús Acosta-Elías, P. D. Arjona-Villicaña, R. E. Balderas-Navarro, Enrique Stevens-Navarro, J. Esquivel-Gómez
Jazyk:	angličtina
Rok vydání:	2015
Předmět:	Multidisciplinary Property (programming) Computer science Node (networking) Growth model Complex network computer.software_genre Power law Article Range (mathematics) Distribution (mathematics) Data mining Statistical physics computer
Zdroj:	Scientific Reports
ISSN:	2045-2322
Popis:	The out-degree distribution is one of the most reported topological properties to characterize real complex networks. This property describes the probability that a node in the network has a particular number of outgoing links. It has been found that in many real complex networks the out-degree has a behavior similar to a power-law distribution, therefore some network growth models have been proposed to approximate this behavior. This paper introduces a new growth model that allows to produce out-degree distributions that decay as a power-law with an exponent in the range from 1 to ∞.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25917a4bbf23abe61586ca97f24562ed http://europepmc.org/articles/PMC4358025 Zobrazit plný text záznamu