Long-range connections and mixed diffusion in fractional networks

Detalhes bibliográficos
Autor(a) principal: Araújo, Tanya
Data de Publicação: 2022
Outros Autores: Mendes, R. Vilela
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/29446
Resumo: Networks with long-range connections, obeying a distance-dependent power law of sufficiently small exponent, display superdiffusion, Lévy flights and robustness prop erties very different from the scale-free networks. It has been proposed that these networks, found both in society and in biology, be classified as a new structure, the fractional networks. Particular important examples are the social networks and the modular hierarchical brain networks where both short- and long-range connections are present. The anomalous superdiffusive and the mixed diffusion behavior of these networks is studied here as well as its relation to the nature and density of the long-range connections.
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spelling Long-range connections and mixed diffusion in fractional networksFractional NetworksLong-Range ConnectionsDiffusionNetworks with long-range connections, obeying a distance-dependent power law of sufficiently small exponent, display superdiffusion, Lévy flights and robustness prop erties very different from the scale-free networks. It has been proposed that these networks, found both in society and in biology, be classified as a new structure, the fractional networks. Particular important examples are the social networks and the modular hierarchical brain networks where both short- and long-range connections are present. The anomalous superdiffusive and the mixed diffusion behavior of these networks is studied here as well as its relation to the nature and density of the long-range connections.ElsevierRepositório da Universidade de LisboaAraújo, TanyaMendes, R. Vilela2023-11-20T11:39:33Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/29446engAraújo, Tanya and R. Vilela Mendes .(2022). “Long-range connections and mixed diffusion in fractional networks”. Physica A: Statistical Mechanics and its Applications, Volume 608, Part 1: 128269. (Search PDF in 2023).0378-4371doi.org/10.1016/j.physa.2022.128269info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-26T01:31:49Zoai:www.repository.utl.pt:10400.5/29446Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:19:47.428025Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Long-range connections and mixed diffusion in fractional networks
title Long-range connections and mixed diffusion in fractional networks
spellingShingle Long-range connections and mixed diffusion in fractional networks
Araújo, Tanya
Fractional Networks
Long-Range Connections
Diffusion
title_short Long-range connections and mixed diffusion in fractional networks
title_full Long-range connections and mixed diffusion in fractional networks
title_fullStr Long-range connections and mixed diffusion in fractional networks
title_full_unstemmed Long-range connections and mixed diffusion in fractional networks
title_sort Long-range connections and mixed diffusion in fractional networks
author Araújo, Tanya
author_facet Araújo, Tanya
Mendes, R. Vilela
author_role author
author2 Mendes, R. Vilela
author2_role author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Araújo, Tanya
Mendes, R. Vilela
dc.subject.por.fl_str_mv Fractional Networks
Long-Range Connections
Diffusion
topic Fractional Networks
Long-Range Connections
Diffusion
description Networks with long-range connections, obeying a distance-dependent power law of sufficiently small exponent, display superdiffusion, Lévy flights and robustness prop erties very different from the scale-free networks. It has been proposed that these networks, found both in society and in biology, be classified as a new structure, the fractional networks. Particular important examples are the social networks and the modular hierarchical brain networks where both short- and long-range connections are present. The anomalous superdiffusive and the mixed diffusion behavior of these networks is studied here as well as its relation to the nature and density of the long-range connections.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
2023-11-20T11:39:33Z
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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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.5/29446
url http://hdl.handle.net/10400.5/29446
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Araújo, Tanya and R. Vilela Mendes .(2022). “Long-range connections and mixed diffusion in fractional networks”. Physica A: Statistical Mechanics and its Applications, Volume 608, Part 1: 128269. (Search PDF in 2023).
0378-4371
doi.org/10.1016/j.physa.2022.128269
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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