Hierarchical coefficient of a multifractal based network

Detalhes bibliográficos
Autor(a) principal: Moreira, Darlan Araújo
Data de Publicação: 2014
Outros Autores: Lucena, Liacir dos Santos, Corso, Gilberto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/handle/123456789/30640
Resumo: The hierarchical property for a general class of networks stands for a power-law relation between clustering coefficient, CC and connectivity k: CC ∝ kβ. This relation is empirically verified in several biologic and social networks, as well as in random and deterministic network models, in special for hierarchical networks. In this work we show that the hierarchical property is also present in a Lucena network. To create a Lucena network we use the dual of a multifractal lattice ML, the vertices are the sites of the ML and links are established between neighbouring lattices, therefore this network is space filling and planar. Besides a Lucena network shows a scale-free distribution of connectivity. We deduce a relation for the maximal local clustering coefficient CCmaxiof a vertex i in a planar graph. This condition expresses that the number of links among neighbour, N△, of a vertexi is equal to its connectivity ki, that means: N△ = ki. The Lucena network fulfils the condition N△ ≃ ki independent of ki and the anisotropy of ML. In addition, CCmax implies the threshold β = 1 for the hierarchical property for any scale-free planar network
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spelling Moreira, Darlan AraújoLucena, Liacir dos SantosCorso, Gilberto2020-11-23T20:45:34Z2020-11-23T20:45:34Z2014-02-15MOREIRA, Darlan A.; LUCENA, Liacir dos Santos; CORSO, Gilberto. Hierarchical coefficient of a multifractal based network. Physica A: Statistical Mechanics and its Applications, [S.L.], v. 396, p. 242-247, fev. 2014. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0378437113010625?via%3Dihub. Acesso em: 08 set. 2020. http://dx.doi.org/10.1016/j.physa.2013.11.020.0378-437110.1016/j.physa.2013.11.020.https://repositorio.ufrn.br/handle/123456789/30640ElsevierAttribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessMultifractal latticeHierarchical networkPlanar graphApollonius networkSpace filling networkHierarchical coefficient of a multifractal based networkinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleThe hierarchical property for a general class of networks stands for a power-law relation between clustering coefficient, CC and connectivity k: CC ∝ kβ. This relation is empirically verified in several biologic and social networks, as well as in random and deterministic network models, in special for hierarchical networks. In this work we show that the hierarchical property is also present in a Lucena network. To create a Lucena network we use the dual of a multifractal lattice ML, the vertices are the sites of the ML and links are established between neighbouring lattices, therefore this network is space filling and planar. Besides a Lucena network shows a scale-free distribution of connectivity. We deduce a relation for the maximal local clustering coefficient CCmaxiof a vertex i in a planar graph. This condition expresses that the number of links among neighbour, N△, of a vertexi is equal to its connectivity ki, that means: N△ = ki. The Lucena network fulfils the condition N△ ≃ ki independent of ki and the anisotropy of ML. In addition, CCmax implies the threshold β = 1 for the hierarchical property for any scale-free planar networkengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALHierarchicalCoefficientMultifractal_Moreira_2014.pdfHierarchicalCoefficientMultifractal_Moreira_2014.pdfapplication/pdf501945https://repositorio.ufrn.br/bitstream/123456789/30640/1/HierarchicalCoefficientMultifractal_Moreira_2014.pdf7c0a96f4cb55de460cb4bd81797cccebMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/30640/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/30640/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53TEXTHierarchicalCoefficientMultifractal_MOREIRA_2014.pdf.txtHierarchicalCoefficientMultifractal_MOREIRA_2014.pdf.txtExtracted texttext/plain22053https://repositorio.ufrn.br/bitstream/123456789/30640/4/HierarchicalCoefficientMultifractal_MOREIRA_2014.pdf.txt22ed3c42390d7e646c946d845bee02cbMD54THUMBNAILHierarchicalCoefficientMultifractal_MOREIRA_2014.pdf.jpgHierarchicalCoefficientMultifractal_MOREIRA_2014.pdf.jpgGenerated Thumbnailimage/jpeg1745https://repositorio.ufrn.br/bitstream/123456789/30640/5/HierarchicalCoefficientMultifractal_MOREIRA_2014.pdf.jpgc618906a40d860658dfe675e87956b65MD55123456789/306402021-11-10 16:41:34.308oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2021-11-10T19:41:34Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv Hierarchical coefficient of a multifractal based network
title Hierarchical coefficient of a multifractal based network
spellingShingle Hierarchical coefficient of a multifractal based network
Moreira, Darlan Araújo
Multifractal lattice
Hierarchical network
Planar graph
Apollonius network
Space filling network
title_short Hierarchical coefficient of a multifractal based network
title_full Hierarchical coefficient of a multifractal based network
title_fullStr Hierarchical coefficient of a multifractal based network
title_full_unstemmed Hierarchical coefficient of a multifractal based network
title_sort Hierarchical coefficient of a multifractal based network
author Moreira, Darlan Araújo
author_facet Moreira, Darlan Araújo
Lucena, Liacir dos Santos
Corso, Gilberto
author_role author
author2 Lucena, Liacir dos Santos
Corso, Gilberto
author2_role author
author
dc.contributor.author.fl_str_mv Moreira, Darlan Araújo
Lucena, Liacir dos Santos
Corso, Gilberto
dc.subject.por.fl_str_mv Multifractal lattice
Hierarchical network
Planar graph
Apollonius network
Space filling network
topic Multifractal lattice
Hierarchical network
Planar graph
Apollonius network
Space filling network
description The hierarchical property for a general class of networks stands for a power-law relation between clustering coefficient, CC and connectivity k: CC ∝ kβ. This relation is empirically verified in several biologic and social networks, as well as in random and deterministic network models, in special for hierarchical networks. In this work we show that the hierarchical property is also present in a Lucena network. To create a Lucena network we use the dual of a multifractal lattice ML, the vertices are the sites of the ML and links are established between neighbouring lattices, therefore this network is space filling and planar. Besides a Lucena network shows a scale-free distribution of connectivity. We deduce a relation for the maximal local clustering coefficient CCmaxiof a vertex i in a planar graph. This condition expresses that the number of links among neighbour, N△, of a vertexi is equal to its connectivity ki, that means: N△ = ki. The Lucena network fulfils the condition N△ ≃ ki independent of ki and the anisotropy of ML. In addition, CCmax implies the threshold β = 1 for the hierarchical property for any scale-free planar network
publishDate 2014
dc.date.issued.fl_str_mv 2014-02-15
dc.date.accessioned.fl_str_mv 2020-11-23T20:45:34Z
dc.date.available.fl_str_mv 2020-11-23T20:45:34Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.fl_str_mv MOREIRA, Darlan A.; LUCENA, Liacir dos Santos; CORSO, Gilberto. Hierarchical coefficient of a multifractal based network. Physica A: Statistical Mechanics and its Applications, [S.L.], v. 396, p. 242-247, fev. 2014. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0378437113010625?via%3Dihub. Acesso em: 08 set. 2020. http://dx.doi.org/10.1016/j.physa.2013.11.020.
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/handle/123456789/30640
dc.identifier.issn.none.fl_str_mv 0378-4371
10.1016/j.physa.2013.11.020.
identifier_str_mv MOREIRA, Darlan A.; LUCENA, Liacir dos Santos; CORSO, Gilberto. Hierarchical coefficient of a multifractal based network. Physica A: Statistical Mechanics and its Applications, [S.L.], v. 396, p. 242-247, fev. 2014. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0378437113010625?via%3Dihub. Acesso em: 08 set. 2020. http://dx.doi.org/10.1016/j.physa.2013.11.020.
0378-4371
10.1016/j.physa.2013.11.020.
url https://repositorio.ufrn.br/handle/123456789/30640
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dc.rights.driver.fl_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
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