Small world topologies of Facebook pages in Bahía Blanca

Autores
Gutierrez, Emiliano Martin; Larrosa, Juan Manuel Ceferino
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Networks that exhibit large hubs are prone to show higher connectivity than random structures. This feature is also reflected in the presence of power law distribution in the degree distribution of nodes. We check for the presence of power law degree distributions in Facebook Page Networks (FPN). We analyze data collected from 325 Facebook fan pages from an Argentinian median city summarizing 94 thousand nodes and 6.5 million edges during a whole year. We found that whole network exhibits power law degree distributions but when we analyzed the subnetworks that compose it only a handful of marginal networks in terms of size and level of engagement. We find that main subnetworks exhibit small world properties such as average geodesic distance approximates and correlates to the natural logarithm of the graph range. We begin our contribution by surveying the topic of power law in degree distribution and small world in online networks. We estimate the slopes of the log-log degree distribution for each network for identifying free scale structures and statistically associate network structural properties with the presence of power law distributions. We present statistical results that associate structural parameters with the presence of power law distributions and small world effect shading light to new patterns for detecting the properties in networks.
Fil: Gutierrez, Emiliano Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
Fil: Larrosa, Juan Manuel Ceferino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
Materia
ONLINE SOCIAL NETWORKS
FACEBOOK
SMALL-WORLD
SCALE FREE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/120215
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Small world topologies of Facebook pages in Bahía BlancaGutierrez, Emiliano MartinLarrosa, Juan Manuel CeferinoONLINE SOCIAL NETWORKSFACEBOOKSMALL-WORLDSCALE FREEhttps://purl.org/becyt/ford/5.4https://purl.org/becyt/ford/5https://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Networks that exhibit large hubs are prone to show higher connectivity than random structures. This feature is also reflected in the presence of power law distribution in the degree distribution of nodes. We check for the presence of power law degree distributions in Facebook Page Networks (FPN). We analyze data collected from 325 Facebook fan pages from an Argentinian median city summarizing 94 thousand nodes and 6.5 million edges during a whole year. We found that whole network exhibits power law degree distributions but when we analyzed the subnetworks that compose it only a handful of marginal networks in terms of size and level of engagement. We find that main subnetworks exhibit small world properties such as average geodesic distance approximates and correlates to the natural logarithm of the graph range. We begin our contribution by surveying the topic of power law in degree distribution and small world in online networks. We estimate the slopes of the log-log degree distribution for each network for identifying free scale structures and statistically associate network structural properties with the presence of power law distributions. We present statistical results that associate structural parameters with the presence of power law distributions and small world effect shading light to new patterns for detecting the properties in networks.Fil: Gutierrez, Emiliano Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; ArgentinaFil: Larrosa, Juan Manuel Ceferino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; ArgentinaInstituto de Investigaciones Económicas y Sociales del Sur2019-11-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/120215Gutierrez, Emiliano Martin; Larrosa, Juan Manuel Ceferino; Small world topologies of Facebook pages in Bahía Blanca; Instituto de Investigaciones Económicas y Sociales del Sur; Documentos de trabajo; 10; 12-11-2019; 1-162250-8333CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://iiess.conicet.gov.ar/index.php/investigacion/proyecto-unidad-ejecutora/publicaciones/documentos-de-trabajo-pueinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:04:06Zoai:ri.conicet.gov.ar:11336/120215instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:04:07.049CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Small world topologies of Facebook pages in Bahía Blanca
title Small world topologies of Facebook pages in Bahía Blanca
spellingShingle Small world topologies of Facebook pages in Bahía Blanca
Gutierrez, Emiliano Martin
ONLINE SOCIAL NETWORKS
FACEBOOK
SMALL-WORLD
SCALE FREE
title_short Small world topologies of Facebook pages in Bahía Blanca
title_full Small world topologies of Facebook pages in Bahía Blanca
title_fullStr Small world topologies of Facebook pages in Bahía Blanca
title_full_unstemmed Small world topologies of Facebook pages in Bahía Blanca
title_sort Small world topologies of Facebook pages in Bahía Blanca
dc.creator.none.fl_str_mv Gutierrez, Emiliano Martin
Larrosa, Juan Manuel Ceferino
author Gutierrez, Emiliano Martin
author_facet Gutierrez, Emiliano Martin
Larrosa, Juan Manuel Ceferino
author_role author
author2 Larrosa, Juan Manuel Ceferino
author2_role author
dc.subject.none.fl_str_mv ONLINE SOCIAL NETWORKS
FACEBOOK
SMALL-WORLD
SCALE FREE
topic ONLINE SOCIAL NETWORKS
FACEBOOK
SMALL-WORLD
SCALE FREE
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.4
https://purl.org/becyt/ford/5
https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Networks that exhibit large hubs are prone to show higher connectivity than random structures. This feature is also reflected in the presence of power law distribution in the degree distribution of nodes. We check for the presence of power law degree distributions in Facebook Page Networks (FPN). We analyze data collected from 325 Facebook fan pages from an Argentinian median city summarizing 94 thousand nodes and 6.5 million edges during a whole year. We found that whole network exhibits power law degree distributions but when we analyzed the subnetworks that compose it only a handful of marginal networks in terms of size and level of engagement. We find that main subnetworks exhibit small world properties such as average geodesic distance approximates and correlates to the natural logarithm of the graph range. We begin our contribution by surveying the topic of power law in degree distribution and small world in online networks. We estimate the slopes of the log-log degree distribution for each network for identifying free scale structures and statistically associate network structural properties with the presence of power law distributions. We present statistical results that associate structural parameters with the presence of power law distributions and small world effect shading light to new patterns for detecting the properties in networks.
Fil: Gutierrez, Emiliano Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
Fil: Larrosa, Juan Manuel Ceferino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
description Networks that exhibit large hubs are prone to show higher connectivity than random structures. This feature is also reflected in the presence of power law distribution in the degree distribution of nodes. We check for the presence of power law degree distributions in Facebook Page Networks (FPN). We analyze data collected from 325 Facebook fan pages from an Argentinian median city summarizing 94 thousand nodes and 6.5 million edges during a whole year. We found that whole network exhibits power law degree distributions but when we analyzed the subnetworks that compose it only a handful of marginal networks in terms of size and level of engagement. We find that main subnetworks exhibit small world properties such as average geodesic distance approximates and correlates to the natural logarithm of the graph range. We begin our contribution by surveying the topic of power law in degree distribution and small world in online networks. We estimate the slopes of the log-log degree distribution for each network for identifying free scale structures and statistically associate network structural properties with the presence of power law distributions. We present statistical results that associate structural parameters with the presence of power law distributions and small world effect shading light to new patterns for detecting the properties in networks.
publishDate 2019
dc.date.none.fl_str_mv 2019-11-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/120215
Gutierrez, Emiliano Martin; Larrosa, Juan Manuel Ceferino; Small world topologies of Facebook pages in Bahía Blanca; Instituto de Investigaciones Económicas y Sociales del Sur; Documentos de trabajo; 10; 12-11-2019; 1-16
2250-8333
CONICET Digital
CONICET
url http://hdl.handle.net/11336/120215
identifier_str_mv Gutierrez, Emiliano Martin; Larrosa, Juan Manuel Ceferino; Small world topologies of Facebook pages in Bahía Blanca; Instituto de Investigaciones Económicas y Sociales del Sur; Documentos de trabajo; 10; 12-11-2019; 1-16
2250-8333
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://iiess.conicet.gov.ar/index.php/investigacion/proyecto-unidad-ejecutora/publicaciones/documentos-de-trabajo-pue
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Instituto de Investigaciones Económicas y Sociales del Sur
publisher.none.fl_str_mv Instituto de Investigaciones Económicas y Sociales del Sur
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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