Generating more realistic complex networks from power-law distribution of fitness

Detalhes bibliográficos
Autor(a) principal: Mendes,G. A.
Data de Publicação: 2009
Outros Autores: da Silva,L. R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Physics
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97332009000400013
Resumo: In this work we analyze the implications of using a power law distribution of vertice's quality in the growth dynamics of a network studied by Bianconi and Barabási. Using this suggested distribution we show the degree distribution interpolates the Barabási et al. model and Bianconi et al. model. This modified model (with power law distribution) can help us understand the evolution of complex systems. Additionally, we determine the exponent gamma related to the degree distribution, the time evolution of the average number of links,< ki >∝ (t/i)β (i coincindes with the input-time of the i th node), the average path length and the clustering coefficient.
id SBF-2_badfa43c9c7182c2779fbaffa4f31c8b
oai_identifier_str oai:scielo:S0103-97332009000400013
network_acronym_str SBF-2
network_name_str Brazilian Journal of Physics
repository_id_str
spelling Generating more realistic complex networks from power-law distribution of fitnessPower-lawScale-free networksComplex networksFitness modelIn this work we analyze the implications of using a power law distribution of vertice's quality in the growth dynamics of a network studied by Bianconi and Barabási. Using this suggested distribution we show the degree distribution interpolates the Barabási et al. model and Bianconi et al. model. This modified model (with power law distribution) can help us understand the evolution of complex systems. Additionally, we determine the exponent gamma related to the degree distribution, the time evolution of the average number of links,< ki >∝ (t/i)β (i coincindes with the input-time of the i th node), the average path length and the clustering coefficient.Sociedade Brasileira de Física2009-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97332009000400013Brazilian Journal of Physics v.39 n.2a 2009reponame:Brazilian Journal of Physicsinstname:Sociedade Brasileira de Física (SBF)instacron:SBF10.1590/S0103-97332009000400013info:eu-repo/semantics/openAccessMendes,G. A.da Silva,L. R.eng2009-09-10T00:00:00Zoai:scielo:S0103-97332009000400013Revistahttp://www.sbfisica.org.br/v1/home/index.php/pt/ONGhttps://old.scielo.br/oai/scielo-oai.phpsbfisica@sbfisica.org.br||sbfisica@sbfisica.org.br1678-44480103-9733opendoar:2009-09-10T00:00Brazilian Journal of Physics - Sociedade Brasileira de Física (SBF)false
dc.title.none.fl_str_mv Generating more realistic complex networks from power-law distribution of fitness
title Generating more realistic complex networks from power-law distribution of fitness
spellingShingle Generating more realistic complex networks from power-law distribution of fitness
Mendes,G. A.
Power-law
Scale-free networks
Complex networks
Fitness model
title_short Generating more realistic complex networks from power-law distribution of fitness
title_full Generating more realistic complex networks from power-law distribution of fitness
title_fullStr Generating more realistic complex networks from power-law distribution of fitness
title_full_unstemmed Generating more realistic complex networks from power-law distribution of fitness
title_sort Generating more realistic complex networks from power-law distribution of fitness
author Mendes,G. A.
author_facet Mendes,G. A.
da Silva,L. R.
author_role author
author2 da Silva,L. R.
author2_role author
dc.contributor.author.fl_str_mv Mendes,G. A.
da Silva,L. R.
dc.subject.por.fl_str_mv Power-law
Scale-free networks
Complex networks
Fitness model
topic Power-law
Scale-free networks
Complex networks
Fitness model
description In this work we analyze the implications of using a power law distribution of vertice's quality in the growth dynamics of a network studied by Bianconi and Barabási. Using this suggested distribution we show the degree distribution interpolates the Barabási et al. model and Bianconi et al. model. This modified model (with power law distribution) can help us understand the evolution of complex systems. Additionally, we determine the exponent gamma related to the degree distribution, the time evolution of the average number of links,< ki >∝ (t/i)β (i coincindes with the input-time of the i th node), the average path length and the clustering coefficient.
publishDate 2009
dc.date.none.fl_str_mv 2009-08-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97332009000400013
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97332009000400013
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-97332009000400013
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Física
publisher.none.fl_str_mv Sociedade Brasileira de Física
dc.source.none.fl_str_mv Brazilian Journal of Physics v.39 n.2a 2009
reponame:Brazilian Journal of Physics
instname:Sociedade Brasileira de Física (SBF)
instacron:SBF
instname_str Sociedade Brasileira de Física (SBF)
instacron_str SBF
institution SBF
reponame_str Brazilian Journal of Physics
collection Brazilian Journal of Physics
repository.name.fl_str_mv Brazilian Journal of Physics - Sociedade Brasileira de Física (SBF)
repository.mail.fl_str_mv sbfisica@sbfisica.org.br||sbfisica@sbfisica.org.br
_version_ 1754734865169776640

Registros relacionados