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Social Network Analysis and Mining to Monitor and Identify Problems with Large-Scale Information and Communication Technology Interventions
The published literature reveals several arguments concerning the strategic importance of information and communication technology (ICT) interventions for developing countries where the digital divide is a challenge. Large-scale ICT interventions can be an option for countries whose regions, both ur...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4699760/ https://www.ncbi.nlm.nih.gov/pubmed/26727472 http://dx.doi.org/10.1371/journal.pone.0146220 |
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author | da Silva, Aleksandra do Socorro de Brito, Silvana Rossy Vijaykumar, Nandamudi Lankalapalli da Rocha, Cláudio Alex Jorge Monteiro, Maurílio de Abreu Costa, João Crisóstomo Weyl Albuquerque Francês, Carlos Renato Lisboa |
author_facet | da Silva, Aleksandra do Socorro de Brito, Silvana Rossy Vijaykumar, Nandamudi Lankalapalli da Rocha, Cláudio Alex Jorge Monteiro, Maurílio de Abreu Costa, João Crisóstomo Weyl Albuquerque Francês, Carlos Renato Lisboa |
author_sort | da Silva, Aleksandra do Socorro |
collection | PubMed |
description | The published literature reveals several arguments concerning the strategic importance of information and communication technology (ICT) interventions for developing countries where the digital divide is a challenge. Large-scale ICT interventions can be an option for countries whose regions, both urban and rural, present a high number of digitally excluded people. Our goal was to monitor and identify problems in interventions aimed at certification for a large number of participants in different geographical regions. Our case study is the training at the Telecentros.BR, a program created in Brazil to install telecenters and certify individuals to use ICT resources. We propose an approach that applies social network analysis and mining techniques to data collected from Telecentros.BR dataset and from the socioeconomics and telecommunications infrastructure indicators of the participants’ municipalities. We found that (i) the analysis of interactions in different time periods reflects the objectives of each phase of training, highlighting the increased density in the phase in which participants develop and disseminate their projects; (ii) analysis according to the roles of participants (i.e., tutors or community members) reveals that the interactions were influenced by the center (or region) to which the participant belongs (that is, a community contained mainly members of the same region and always with the presence of tutors, contradicting expectations of the training project, which aimed for intense collaboration of the participants, regardless of the geographic region); (iii) the social network of participants influences the success of the training: that is, given evidence that the degree of the community member is in the highest range, the probability of this individual concluding the training is 0.689; (iv) the North region presented the lowest probability of participant certification, whereas the Northeast, which served municipalities with similar characteristics, presented high probability of certification, associated with the highest degree in social networking platform. |
format | Online Article Text |
id | pubmed-4699760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46997602016-01-15 Social Network Analysis and Mining to Monitor and Identify Problems with Large-Scale Information and Communication Technology Interventions da Silva, Aleksandra do Socorro de Brito, Silvana Rossy Vijaykumar, Nandamudi Lankalapalli da Rocha, Cláudio Alex Jorge Monteiro, Maurílio de Abreu Costa, João Crisóstomo Weyl Albuquerque Francês, Carlos Renato Lisboa PLoS One Research Article The published literature reveals several arguments concerning the strategic importance of information and communication technology (ICT) interventions for developing countries where the digital divide is a challenge. Large-scale ICT interventions can be an option for countries whose regions, both urban and rural, present a high number of digitally excluded people. Our goal was to monitor and identify problems in interventions aimed at certification for a large number of participants in different geographical regions. Our case study is the training at the Telecentros.BR, a program created in Brazil to install telecenters and certify individuals to use ICT resources. We propose an approach that applies social network analysis and mining techniques to data collected from Telecentros.BR dataset and from the socioeconomics and telecommunications infrastructure indicators of the participants’ municipalities. We found that (i) the analysis of interactions in different time periods reflects the objectives of each phase of training, highlighting the increased density in the phase in which participants develop and disseminate their projects; (ii) analysis according to the roles of participants (i.e., tutors or community members) reveals that the interactions were influenced by the center (or region) to which the participant belongs (that is, a community contained mainly members of the same region and always with the presence of tutors, contradicting expectations of the training project, which aimed for intense collaboration of the participants, regardless of the geographic region); (iii) the social network of participants influences the success of the training: that is, given evidence that the degree of the community member is in the highest range, the probability of this individual concluding the training is 0.689; (iv) the North region presented the lowest probability of participant certification, whereas the Northeast, which served municipalities with similar characteristics, presented high probability of certification, associated with the highest degree in social networking platform. Public Library of Science 2016-01-04 /pmc/articles/PMC4699760/ /pubmed/26727472 http://dx.doi.org/10.1371/journal.pone.0146220 Text en © 2016 Silva et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited |
spellingShingle | Research Article da Silva, Aleksandra do Socorro de Brito, Silvana Rossy Vijaykumar, Nandamudi Lankalapalli da Rocha, Cláudio Alex Jorge Monteiro, Maurílio de Abreu Costa, João Crisóstomo Weyl Albuquerque Francês, Carlos Renato Lisboa Social Network Analysis and Mining to Monitor and Identify Problems with Large-Scale Information and Communication Technology Interventions |
title | Social Network Analysis and Mining to Monitor and Identify Problems with Large-Scale Information and Communication Technology Interventions |
title_full | Social Network Analysis and Mining to Monitor and Identify Problems with Large-Scale Information and Communication Technology Interventions |
title_fullStr | Social Network Analysis and Mining to Monitor and Identify Problems with Large-Scale Information and Communication Technology Interventions |
title_full_unstemmed | Social Network Analysis and Mining to Monitor and Identify Problems with Large-Scale Information and Communication Technology Interventions |
title_short | Social Network Analysis and Mining to Monitor and Identify Problems with Large-Scale Information and Communication Technology Interventions |
title_sort | social network analysis and mining to monitor and identify problems with large-scale information and communication technology interventions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4699760/ https://www.ncbi.nlm.nih.gov/pubmed/26727472 http://dx.doi.org/10.1371/journal.pone.0146220 |
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