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首页> 美国卫生研究院文献>PLoS Clinical Trials >Social Network Analysis and Mining to Monitor and Identify Problems with Large-Scale Information and Communication Technology Interventions
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Social Network Analysis and Mining to Monitor and Identify Problems with Large-Scale Information and Communication Technology Interventions

机译：社交网络分析和挖掘，以监视和识别大规模信息和通信技术干预措施中的问题

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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.
机译：公开发表的文献揭示了一些有关信息和通信技术（ICT）干预对数字鸿沟构成挑战的发展中国家的战略重要性的争论。对于城市和农村地区存在大量被数字排斥人群的国家，可以选择大规模ICT干预。我们的目标是监视和识别干预措施中的问题，这些干预措施旨在为不同地理区域的大量参与者进行认证。我们的案例研究是在Telecentros.BR进行的培训，Telecentros.BR是在巴西创建的一个程序，用于安装电信中心并认证个人使用ICT资源的能力。我们提出一种将社交网络分析和挖掘技术应用于从Telecentros.BR数据集以及参与者所在城市的社会经济和电信基础设施指标收集的数据的方法。我们发现（i）在不同时间段的互动分析反映了培训每个阶段的目标，突出了参与者开发和传播其项目的阶段密度的增加； （ii）根据参与者（即导师或社区成员）的角色进行的分析表明，互动受到参与者所属中心（或地区）的影响（即，一个社区主要包含同一地区的成员，并且总是有导师在场，这与培训项目的期望相抵触，该培训项目旨在使参与者（无论其地理区域如何）进行紧密合作）； （iii）参与者的社交网络影响培训的成功：即，有证据表明社区成员的程度处于最高范围内，此人结束培训的概率为0.689； （iv）北部地区的参与者获得认证的可能性最低，而服务于具有相似特征的城市的东北地区则具有很高的认证概率，并且与社交网络平台的学位程度最高相关。

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