Finite-time Convergence Policies in State-dependent Social Networks

Detalhes bibliográficos
Autor(a) principal: Silvestre, Daniel
Data de Publicação: 2015
Outros Autores: Rosa, P., Hespanha, J.P., Silvestre, C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/11144/3419
Resumo: This paper addresses the problem of finite-time convergence in a social network for a political party or an association, modeled as a distributed iterative system with a graph dynamics chosen to mimic how people interact. It is firstly shown that, in this setting, finite-time convergence is achieved only when nodes form a complete network, and that contacting with agents with distinct opinions reduces to a half the required interconnections. Two novel strategies are presented that enable finite-time convergence, even for the case where each node only contacts the two closest neighbors. These strategies are of prime importance, for instance, in a company environment where agents can be motivated to reach faster conclusions. The performance of the proposed policies is assessed through simulation, illustrating, in particular the finite-time convergence property.
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spelling Finite-time Convergence Policies in State-dependent Social NetworksThis paper addresses the problem of finite-time convergence in a social network for a political party or an association, modeled as a distributed iterative system with a graph dynamics chosen to mimic how people interact. It is firstly shown that, in this setting, finite-time convergence is achieved only when nodes form a complete network, and that contacting with agents with distinct opinions reduces to a half the required interconnections. Two novel strategies are presented that enable finite-time convergence, even for the case where each node only contacts the two closest neighbors. These strategies are of prime importance, for instance, in a company environment where agents can be motivated to reach faster conclusions. The performance of the proposed policies is assessed through simulation, illustrating, in particular the finite-time convergence property.IEEE2018-02-07T10:26:13Z2015-07-01T00:00:00Z2015-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/11144/3419eng10.1109/ACC.2015.7170870Silvestre, DanielRosa, P.Hespanha, J.P.Silvestre, C.info: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:RCAAP2024-01-11T02:18:30Zoai:repositorio.ual.pt:11144/3419Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:33:37.883485Repositório 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 Finite-time Convergence Policies in State-dependent Social Networks
title Finite-time Convergence Policies in State-dependent Social Networks
spellingShingle Finite-time Convergence Policies in State-dependent Social Networks
Silvestre, Daniel
title_short Finite-time Convergence Policies in State-dependent Social Networks
title_full Finite-time Convergence Policies in State-dependent Social Networks
title_fullStr Finite-time Convergence Policies in State-dependent Social Networks
title_full_unstemmed Finite-time Convergence Policies in State-dependent Social Networks
title_sort Finite-time Convergence Policies in State-dependent Social Networks
author Silvestre, Daniel
author_facet Silvestre, Daniel
Rosa, P.
Hespanha, J.P.
Silvestre, C.
author_role author
author2 Rosa, P.
Hespanha, J.P.
Silvestre, C.
author2_role author
author
author
dc.contributor.author.fl_str_mv Silvestre, Daniel
Rosa, P.
Hespanha, J.P.
Silvestre, C.
description This paper addresses the problem of finite-time convergence in a social network for a political party or an association, modeled as a distributed iterative system with a graph dynamics chosen to mimic how people interact. It is firstly shown that, in this setting, finite-time convergence is achieved only when nodes form a complete network, and that contacting with agents with distinct opinions reduces to a half the required interconnections. Two novel strategies are presented that enable finite-time convergence, even for the case where each node only contacts the two closest neighbors. These strategies are of prime importance, for instance, in a company environment where agents can be motivated to reach faster conclusions. The performance of the proposed policies is assessed through simulation, illustrating, in particular the finite-time convergence property.
publishDate 2015
dc.date.none.fl_str_mv 2015-07-01T00:00:00Z
2015-07
2018-02-07T10:26:13Z
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/11144/3419
url http://hdl.handle.net/11144/3419
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1109/ACC.2015.7170870
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
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