A dense graph is a graph in which the number of edges is close to the maximal number of edges. The opposite, a graph with only a few edges, is a sparse graph.
Published in Chapter:
Brazilian Government’s Training Network for Digital Inclusion: Analysis of Strategies for Improving Interactivity
Silvana Rossy de Brito (Federal Rural University of Amazônia (UFRA), Brazil), Aleksandra do Socorro da Silva (Federal Rural University of Amazônia (UFRA), Brazil), Dalton Lopes Martins (University of Sao Paulo (USP), Brazil), Cláudio Alex Jorge da Rocha (Federal University of Pará (UFPA), Brazil & University of Amazônia (UNAMA), Brazil), João Crisóstomo Weyl Albuquerque Costa (Federal University of Pará (UFPA), Brazil), and Carlos Renato Lisboa Francês (Federal University of Pará (UFPA), Brazil)
Copyright: © 2014
|Pages: 26
DOI: 10.4018/978-1-4666-4373-4.ch032
Abstract
This chapter summarizes several previous studies on the analysis of social networks and presents some challenges in monitoring and evaluating large-scale training programs that make use of social networks. The main objective is to understand the dynamics and identify how information is shared among the participating agents of the training program. In this regard, the authors present various algorithms that apply metrics to social network analysis to assess the evolution of networks throughout the training process, and specifically, to discuss the application of these metrics in the evaluation of large-scale training programs for digital inclusion.