Assessing Trust in a Classroom Environment, applying Social Network Analysis
- Autores
- Kuz, Antonieta; Falco, Mariana; Giandini, Roxana Silvia
- Año de publicación
- 2016
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- This paper builds the study of social networks and their bonds with trust, through the methods of detection and description of structural properties. Networks of relationships can be mapped and managed to enhance organizational learning. Social Network Analysis (SNA) is detecting and interpreting patterns of social ties among actors. Due to trust is a crucial factor among the interaction between actors, we use NodeXL© tool to perform a case study in a classroom environment. We relate the trust measures to the clustering coefficient, centrality, and strong and weak ties which are computable characteristics of a social network. We find that more connected classes, and classes with stronger friendship relationships, enjoy more trust.
XIII Workshop Tecnología Informática Aplicada en Educación (WTIAE).
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
Graphs and networks
NodeXL©
classroom climate - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/55808
Ver los metadatos del registro completo
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Assessing Trust in a Classroom Environment, applying Social Network AnalysisKuz, AntonietaFalco, MarianaGiandini, Roxana SilviaCiencias InformáticasGraphs and networksNodeXL©classroom climateThis paper builds the study of social networks and their bonds with trust, through the methods of detection and description of structural properties. Networks of relationships can be mapped and managed to enhance organizational learning. Social Network Analysis (SNA) is detecting and interpreting patterns of social ties among actors. Due to trust is a crucial factor among the interaction between actors, we use NodeXL© tool to perform a case study in a classroom environment. We relate the trust measures to the clustering coefficient, centrality, and strong and weak ties which are computable characteristics of a social network. We find that more connected classes, and classes with stronger friendship relationships, enjoy more trust.XIII Workshop Tecnología Informática Aplicada en Educación (WTIAE).Red de Universidades con Carreras en Informática (RedUNCI)2016-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf304-313http://sedici.unlp.edu.ar/handle/10915/55808enginfo:eu-repo/semantics/reference/hdl/10915/55718info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:05:48Zoai:sedici.unlp.edu.ar:10915/55808Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:05:49.141SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Assessing Trust in a Classroom Environment, applying Social Network Analysis |
title |
Assessing Trust in a Classroom Environment, applying Social Network Analysis |
spellingShingle |
Assessing Trust in a Classroom Environment, applying Social Network Analysis Kuz, Antonieta Ciencias Informáticas Graphs and networks NodeXL© classroom climate |
title_short |
Assessing Trust in a Classroom Environment, applying Social Network Analysis |
title_full |
Assessing Trust in a Classroom Environment, applying Social Network Analysis |
title_fullStr |
Assessing Trust in a Classroom Environment, applying Social Network Analysis |
title_full_unstemmed |
Assessing Trust in a Classroom Environment, applying Social Network Analysis |
title_sort |
Assessing Trust in a Classroom Environment, applying Social Network Analysis |
dc.creator.none.fl_str_mv |
Kuz, Antonieta Falco, Mariana Giandini, Roxana Silvia |
author |
Kuz, Antonieta |
author_facet |
Kuz, Antonieta Falco, Mariana Giandini, Roxana Silvia |
author_role |
author |
author2 |
Falco, Mariana Giandini, Roxana Silvia |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas Graphs and networks NodeXL© classroom climate |
topic |
Ciencias Informáticas Graphs and networks NodeXL© classroom climate |
dc.description.none.fl_txt_mv |
This paper builds the study of social networks and their bonds with trust, through the methods of detection and description of structural properties. Networks of relationships can be mapped and managed to enhance organizational learning. Social Network Analysis (SNA) is detecting and interpreting patterns of social ties among actors. Due to trust is a crucial factor among the interaction between actors, we use NodeXL© tool to perform a case study in a classroom environment. We relate the trust measures to the clustering coefficient, centrality, and strong and weak ties which are computable characteristics of a social network. We find that more connected classes, and classes with stronger friendship relationships, enjoy more trust. XIII Workshop Tecnología Informática Aplicada en Educación (WTIAE). Red de Universidades con Carreras en Informática (RedUNCI) |
description |
This paper builds the study of social networks and their bonds with trust, through the methods of detection and description of structural properties. Networks of relationships can be mapped and managed to enhance organizational learning. Social Network Analysis (SNA) is detecting and interpreting patterns of social ties among actors. Due to trust is a crucial factor among the interaction between actors, we use NodeXL© tool to perform a case study in a classroom environment. We relate the trust measures to the clustering coefficient, centrality, and strong and weak ties which are computable characteristics of a social network. We find that more connected classes, and classes with stronger friendship relationships, enjoy more trust. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-10 |
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/10915/55808 |
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http://sedici.unlp.edu.ar/handle/10915/55808 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/reference/hdl/10915/55718 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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application/pdf 304-313 |
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