Identifying relationship patterns inside communities

Autores
Santiago, Rafael de; Lamb, Luís C.
Año de publicación
2014
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Community detection is an important problem for Computer and other sciences. Following Agarwal and Kempe one of the most important reasons to make clustering over a network is to identify the function/role of each element in a community. If the communities have hundreds or thousands of elements, it is important to understand the functions of internal elements, but that will require an automatic process. In this context, we propose to develop a model, capable to identify elements with common features in different communities, based on the connection between elements and communities, agreeing with Newman and Girvan model features. (Párrafo extraído del texto a modo de resumen)
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
Materia
Ciencias Informáticas
community detection
Clustering
Network management
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/41847
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/41847
network_acronym_str SEDICI
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network_name_str SEDICI (UNLP)
spelling Identifying relationship patterns inside communitiesSantiago, Rafael deLamb, Luís C.Ciencias Informáticascommunity detectionClusteringNetwork managementCommunity detection is an important problem for Computer and other sciences. Following Agarwal and Kempe one of the most important reasons to make clustering over a network is to identify the function/role of each element in a community. If the communities have hundreds or thousands of elements, it is important to understand the functions of internal elements, but that will require an automatic process. In this context, we propose to develop a model, capable to identify elements with common features in different communities, based on the connection between elements and communities, agreeing with Newman and Girvan model features. <i>(Párrafo extraído del texto a modo de resumen)</i>Sociedad Argentina de Informática e Investigación Operativa (SADIO)2014-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf17-18http://sedici.unlp.edu.ar/handle/10915/41847enginfo:eu-repo/semantics/altIdentifier/url/http://43jaiio.sadio.org.ar/proceedings/IJCAI/17-18.pdfinfo:eu-repo/semantics/altIdentifier/issn/2362-5120info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/3.0/Creative Commons Attribution 3.0 Unported (CC BY 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:01:13Zoai:sedici.unlp.edu.ar:10915/41847Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:01:13.411SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Identifying relationship patterns inside communities
title Identifying relationship patterns inside communities
spellingShingle Identifying relationship patterns inside communities
Santiago, Rafael de
Ciencias Informáticas
community detection
Clustering
Network management
title_short Identifying relationship patterns inside communities
title_full Identifying relationship patterns inside communities
title_fullStr Identifying relationship patterns inside communities
title_full_unstemmed Identifying relationship patterns inside communities
title_sort Identifying relationship patterns inside communities
dc.creator.none.fl_str_mv Santiago, Rafael de
Lamb, Luís C.
author Santiago, Rafael de
author_facet Santiago, Rafael de
Lamb, Luís C.
author_role author
author2 Lamb, Luís C.
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
community detection
Clustering
Network management
topic Ciencias Informáticas
community detection
Clustering
Network management
dc.description.none.fl_txt_mv Community detection is an important problem for Computer and other sciences. Following Agarwal and Kempe one of the most important reasons to make clustering over a network is to identify the function/role of each element in a community. If the communities have hundreds or thousands of elements, it is important to understand the functions of internal elements, but that will require an automatic process. In this context, we propose to develop a model, capable to identify elements with common features in different communities, based on the connection between elements and communities, agreeing with Newman and Girvan model features. <i>(Párrafo extraído del texto a modo de resumen)</i>
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
description Community detection is an important problem for Computer and other sciences. Following Agarwal and Kempe one of the most important reasons to make clustering over a network is to identify the function/role of each element in a community. If the communities have hundreds or thousands of elements, it is important to understand the functions of internal elements, but that will require an automatic process. In this context, we propose to develop a model, capable to identify elements with common features in different communities, based on the connection between elements and communities, agreeing with Newman and Girvan model features. <i>(Párrafo extraído del texto a modo de resumen)</i>
publishDate 2014
dc.date.none.fl_str_mv 2014-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/41847
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dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/issn/2362-5120
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/
Creative Commons Attribution 3.0 Unported (CC BY 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/3.0/
Creative Commons Attribution 3.0 Unported (CC BY 3.0)
dc.format.none.fl_str_mv application/pdf
17-18
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reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
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institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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