Navegando por Assunto "Social network mining"

Agora exibindo 1 - 1 de 1

Acesso aberto (Open Access)
Uma metodologia para acompanhamento e monitoramento de intervenções de formação baseada em análise e mineração de redes sociais
(Universidade Federal do Pará, 2016-03-03) SILVA, Aleksandra do Socorro da; COSTA, João Crisóstomo Weyl Albuquerque; http://lattes.cnpq.br/9622051867672434; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
Despite advances in the quality and availability of information and communication technologies (ICT), the level of access and skills in using these resources remains unequal. This is particularly evident in developing countries. To reduce the gap between these levels of employing ICT, organizations (both public and private) invest in the expansion of infrastructure by providing ICT access and ICT training through ICT interventions. In this thesis, it is shown that there is a gap in current approaches to monitor and evaluate large-scale ICT training interventions. Therefore, a methodology is proposed based on the links between participants, social networks analysis and mining. The links represent that participants are at the stage of technological appropriation. This methodology is structured in different levels with specific purposes: (i) to analyze whether there is an intensification of links according to the time in the training; (ii) to analyze the influence of the role or participant's location in communities/clusters; (iii) identify participants with higher participation in training or detect variables associated with low participation. The study scenario for the application of the methodology is the qualification of individuals in Telecentros.BR Program — created in Brazil to install telecenters and qualify individuals to use ICTs. 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 monitors) reveals that the interactions were influenced by the training center (or region) to which the participant belongs (that is, a community contains mainly members of the same region and always with the presence of tutors, contradicting expectations which aimed for intense collaboration of the participants, regardless of the geographic region); (iii) participants of the northeast region of country are associated with the highest degree centrality in social networking platform; (iv) several participants who had low degree centrality reported that the internet was unstable, especially in the north of country.